diff --git a/common/arg.cpp b/common/arg.cpp index 4d755725b..925d45d97 100644 --- a/common/arg.cpp +++ b/common/arg.cpp @@ -1466,15 +1466,28 @@ common_params_context common_params_parser_init(common_params & params, llama_ex {"--list-devices"}, "print list of available devices and exit", [](common_params &) { - printf("Available devices:\n"); + std::vector rpc_devices; + std::vector all_devices; for (size_t i = 0; i < ggml_backend_dev_count(); ++i) { auto * dev = ggml_backend_dev_get(i); if (ggml_backend_dev_type(dev) == GGML_BACKEND_DEVICE_TYPE_GPU) { - size_t free, total; - ggml_backend_dev_memory(dev, &free, &total); - printf(" %s: %s (%zu MiB, %zu MiB free)\n", ggml_backend_dev_name(dev), ggml_backend_dev_description(dev), total / 1024 / 1024, free / 1024 / 1024); + ggml_backend_reg_t reg = ggml_backend_dev_backend_reg(dev); + if (ggml_backend_reg_name(reg) == std::string("RPC")) { + rpc_devices.push_back(dev); + } else { + all_devices.push_back(dev); + } } } + // insert RPC devices in front + all_devices.insert(all_devices.begin(), rpc_devices.begin(), rpc_devices.end()); + printf("Available devices:\n"); + for (size_t i = 0; i < all_devices.size(); ++i) { + auto * dev = all_devices[i]; + size_t free, total; + ggml_backend_dev_memory(dev, &free, &total); + printf(" %s: %s (%zu MiB, %zu MiB free)\n", ggml_backend_dev_name(dev), ggml_backend_dev_description(dev), total / 1024 / 1024, free / 1024 / 1024); + } exit(0); } )); diff --git a/common/chat-template.hpp b/common/chat-template.hpp index 58e119a3b..0e88fb361 100644 --- a/common/chat-template.hpp +++ b/common/chat-template.hpp @@ -33,6 +33,29 @@ struct chat_template_caps { bool requires_typed_content = false; }; +struct chat_template_inputs { + nlohmann::ordered_json messages; + nlohmann::ordered_json tools; + bool add_generation_prompt = true; + nlohmann::ordered_json extra_context; + std::chrono::system_clock::time_point now = std::chrono::system_clock::now(); +}; + +struct chat_template_options { + bool apply_polyfills = true; + bool use_bos_token = true; + bool use_eos_token = true; + bool define_strftime_now = true; + + bool polyfill_tools = true; + bool polyfill_tool_call_examples = true; + bool polyfill_tool_calls = true; + bool polyfill_tool_responses = true; + bool polyfill_system_role = true; + bool polyfill_object_arguments = true; + bool polyfill_typed_content = true; +}; + class chat_template { private: @@ -41,6 +64,7 @@ class chat_template { std::string bos_token_; std::string eos_token_; std::shared_ptr template_root_; + std::string tool_call_example_; std::string try_raw_render( const nlohmann::ordered_json & messages, @@ -49,7 +73,18 @@ class chat_template { const nlohmann::ordered_json & extra_context = nlohmann::ordered_json()) const { try { - auto prompt = apply(messages, tools, add_generation_prompt, extra_context, /* adjust_inputs= */ false); + chat_template_inputs inputs; + inputs.messages = messages; + inputs.tools = tools; + inputs.add_generation_prompt = add_generation_prompt; + inputs.extra_context = extra_context; + // Use fixed date for tests + inputs.now = std::chrono::system_clock::from_time_t(0); + + chat_template_options opts; + opts.apply_polyfills = false; + + auto prompt = apply(inputs, opts); // fprintf(stderr, "try_raw_render: %s\n", prompt.c_str()); return prompt; } catch (const std::exception & e) { @@ -176,6 +211,58 @@ class chat_template { caps_.supports_tool_responses = contains(out, "Some response!"); caps_.supports_tool_call_id = contains(out, "call_911_"); } + + try { + if (!caps_.supports_tools) { + const json user_msg { + {"role", "user"}, + {"content", "Hey"}, + }; + const json args { + {"arg1", "some_value"}, + }; + const json tool_call_msg { + {"role", "assistant"}, + {"content", nullptr}, + {"tool_calls", json::array({ + { + // TODO: detect if requires numerical id or fixed length == 6 like Nemo + {"id", "call_1___"}, + {"type", "function"}, + {"function", { + {"name", "tool_name"}, + {"arguments", (caps_.requires_object_arguments ? args : json(minja::Value(args).dump(-1, /* to_json= */ true)))}, + }}, + }, + })}, + }; + std::string prefix, full; + { + chat_template_inputs inputs; + inputs.messages = json::array({user_msg}); + inputs.add_generation_prompt = true; + prefix = apply(inputs); + } + { + chat_template_inputs inputs; + inputs.messages = json::array({user_msg, tool_call_msg}); + inputs.add_generation_prompt = false; + full = apply(inputs); + } + + if (full.find(prefix) != 0) { + if (prefix.rfind(eos_token_) == prefix.size() - eos_token_.size()) { + prefix = prefix.substr(0, prefix.size() - eos_token_.size()); + } + } + if (full.find(prefix) != 0) { + fprintf(stderr, "Failed to infer a tool call example (possible template bug)\n"); + } + tool_call_example_ = full.substr(prefix.size()); + } + } catch (const std::exception & e) { + fprintf(stderr, "Failed to generate tool call example: %s\n", e.what()); + } } const std::string & source() const { return source_; } @@ -183,28 +270,72 @@ class chat_template { const std::string & eos_token() const { return eos_token_; } const chat_template_caps & original_caps() const { return caps_; } + // Deprecated, please use the form with chat_template_inputs and chat_template_options std::string apply( const nlohmann::ordered_json & messages, const nlohmann::ordered_json & tools, bool add_generation_prompt, const nlohmann::ordered_json & extra_context = nlohmann::ordered_json(), - bool adjust_inputs = true) const + bool apply_polyfills = true) + { + fprintf(stderr, "[%s] Deprecated!\n", __func__); + chat_template_inputs inputs; + inputs.messages = messages; + inputs.tools = tools; + inputs.add_generation_prompt = add_generation_prompt; + inputs.extra_context = extra_context; + inputs.now = std::chrono::system_clock::now(); + + chat_template_options opts; + opts.apply_polyfills = apply_polyfills; + + return apply(inputs, opts); + } + + std::string apply( + const chat_template_inputs & inputs, + const chat_template_options & opts = chat_template_options()) const { json actual_messages; - auto needs_adjustments = adjust_inputs && (false - || !caps_.supports_system_role - || !caps_.supports_tools - || !caps_.supports_tool_responses - || !caps_.supports_tool_calls - || caps_.requires_object_arguments - || caps_.requires_typed_content + auto has_tools = inputs.tools.is_array() && !inputs.tools.empty(); + auto has_tool_calls = false; + auto has_tool_responses = false; + auto has_string_content = false; + for (const auto & message : inputs.messages) { + if (message.contains("tool_calls") && !message["tool_calls"].is_null()) { + has_tool_calls = true; + } + if (message.contains("role") && message["role"] == "tool") { + has_tool_responses = true; + } + if (message.contains("content") && message["content"].is_string()) { + has_string_content = true; + } + } + + auto polyfill_system_role = opts.polyfill_system_role && !caps_.supports_system_role; + auto polyfill_tools = opts.polyfill_tools && has_tools && !caps_.supports_tools; + auto polyfill_tool_call_example = polyfill_tools && opts.polyfill_tool_call_examples; + auto polyfill_tool_calls = opts.polyfill_tool_calls && has_tool_calls && !caps_.supports_tool_calls; + auto polyfill_tool_responses = opts.polyfill_tool_responses && has_tool_responses && !caps_.supports_tool_responses; + auto polyfill_object_arguments = opts.polyfill_object_arguments && has_tool_calls && caps_.requires_object_arguments; + auto polyfill_typed_content = opts.polyfill_typed_content && has_string_content && caps_.requires_typed_content; + + auto needs_polyfills = opts.apply_polyfills && (false + || polyfill_system_role + || polyfill_tools + || polyfill_tool_calls + || polyfill_tool_responses + || polyfill_object_arguments + || polyfill_typed_content ); - if (needs_adjustments) { + + if (needs_polyfills) { actual_messages = json::array(); auto add_message = [&](const json & msg) { - if (caps_.requires_typed_content && msg.contains("content") && !msg.at("content").is_null() && msg.at("content").is_string()) { + if (polyfill_typed_content && msg.contains("content") && !msg.at("content").is_null() && msg.at("content").is_string()) { actual_messages.push_back({ {"role", msg.at("role")}, {"content", {{ @@ -227,9 +358,17 @@ class chat_template { pending_system.clear(); } }; - auto needs_tools_in_system = !tools.is_null() && tools.size() > 0 && !caps_.supports_tools; - for (const auto & message_ : needs_tools_in_system ? add_system(messages, "Available tools: " + tools.dump(2)) : messages) { + json adjusted_messages; + if (polyfill_tools) { + adjusted_messages = add_system(inputs.messages, + "You can call any of the following tools to satisfy the user's requests: " + minja::Value(inputs.tools).dump(2, /* to_json= */ true) + + (!polyfill_tool_call_example || tool_call_example_.empty() ? "" : "\n\nExample tool call syntax:\n\n" + tool_call_example_)); + } else { + adjusted_messages = inputs.messages; + } + + for (const auto & message_ : adjusted_messages) { auto message = message_; if (!message.contains("role") || !message.contains("content")) { throw std::runtime_error("message must have 'role' and 'content' fields: " + message.dump()); @@ -237,7 +376,7 @@ class chat_template { std::string role = message.at("role"); if (message.contains("tool_calls")) { - if (caps_.requires_object_arguments || !caps_.supports_tool_calls) { + if (polyfill_object_arguments || polyfill_tool_calls) { for (auto & tool_call : message.at("tool_calls")) { if (tool_call["type"] == "function") { auto & function = tool_call.at("function"); @@ -252,7 +391,7 @@ class chat_template { } } } - if (!caps_.supports_tool_calls) { + if (polyfill_tool_calls) { auto content = message.at("content"); auto tool_calls = json::array(); for (const auto & tool_call : message.at("tool_calls")) { @@ -279,7 +418,7 @@ class chat_template { message.erase("tool_calls"); } } - if (!caps_.supports_tool_responses && role == "tool") { + if (polyfill_tool_responses && role == "tool") { message["role"] = "user"; auto obj = json { {"tool_response", { @@ -296,7 +435,7 @@ class chat_template { message.erase("name"); } - if (!message["content"].is_null() && !caps_.supports_system_role) { + if (!message["content"].is_null() && polyfill_system_role) { std::string content = message.at("content"); if (role == "system") { if (!pending_system.empty()) pending_system += "\n"; @@ -315,28 +454,36 @@ class chat_template { } add_message(message); } - if (!caps_.supports_system_role) { - flush_sys(); - } + flush_sys(); } else { - actual_messages = messages; + actual_messages = inputs.messages; } auto context = minja::Context::make(json({ {"messages", actual_messages}, - {"add_generation_prompt", add_generation_prompt}, - {"bos_token", bos_token_}, - {"eos_token", eos_token_}, + {"add_generation_prompt", inputs.add_generation_prompt}, })); + context->set("bos_token", opts.use_bos_token ? bos_token_ : ""); + context->set("eos_token", opts.use_eos_token ? eos_token_ : ""); + if (opts.define_strftime_now) { + auto now = inputs.now; + context->set("strftime_now", Value::callable([now](const std::shared_ptr &, minja::ArgumentsValue & args) { + args.expectArgs("strftime_now", {1, 1}, {0, 0}); + auto format = args.args[0].get(); - if (!tools.is_null()) { - auto tools_val = minja::Value(tools); - context->set("tools", tools_val); + auto time = std::chrono::system_clock::to_time_t(now); + auto local_time = *std::localtime(&time); + std::ostringstream ss; + ss << std::put_time(&local_time, format.c_str()); + return ss.str(); + })); } - if (!extra_context.is_null()) { - for (auto & kv : extra_context.items()) { - minja::Value val(kv.value()); - context->set(kv.key(), val); + if (!inputs.tools.is_null()) { + context->set("tools", minja::Value(inputs.tools)); + } + if (!inputs.extra_context.is_null()) { + for (auto & kv : inputs.extra_context.items()) { + context->set(kv.key(), minja::Value(kv.value())); } } @@ -353,7 +500,7 @@ class chat_template { std::string existing_system = messages_with_system.at(0).at("content"); messages_with_system[0] = json { {"role", "system"}, - {"content", existing_system + "\n" + system_prompt}, + {"content", existing_system + "\n\n" + system_prompt}, }; } else { messages_with_system.insert(messages_with_system.begin(), json { diff --git a/common/chat.cpp b/common/chat.cpp index 58db12af9..ef1c6fb3d 100644 --- a/common/chat.cpp +++ b/common/chat.cpp @@ -16,6 +16,7 @@ std::string common_chat_format_name(common_chat_format format) { case COMMON_CHAT_FORMAT_FUNCTIONARY_V3_2: return "Functionary v3.2"; case COMMON_CHAT_FORMAT_FUNCTIONARY_V3_1_LLAMA_3_1: return "Functionary v3.1 Llama 3.1"; case COMMON_CHAT_FORMAT_HERMES_2_PRO: return "Hermes 2 Pro"; + case COMMON_CHAT_FORMAT_COMMAND_R7B: return "Command R7B"; default: throw std::runtime_error("Unknown chat format"); } @@ -162,6 +163,28 @@ static void foreach_function(const json & tools, const std::function\" " + builder.add_schema("tool_calls", schema) + " \"<|END_ACTION|>\""); + }, grammar_options); + data.grammar_triggers.push_back({"<|START_ACTION|>", /* .at_start = */ false}); + data.preserved_tokens = { + "<|START_RESPONSE|>", + "<|END_RESPONSE|>", + "<|START_THINKING|>", + "<|END_THINKING|>", + "<|END_ACTION|>", + }; + data.prompt = apply(tmpl, inputs.messages, inputs.tools.empty() ? json() : inputs.tools, inputs.add_generation_prompt); + data.format = COMMON_CHAT_FORMAT_COMMAND_R7B; + return data; +} +static common_chat_msg common_chat_parse_command_r7b(const std::string & input) { + static std::regex response_regex("<\\|START_RESPONSE\\|>([\\s\\S\\n\\r]*?)<\\|END_RESPONSE\\|>"); + static std::regex thought_action_regex("<\\|START_THINKING\\|>([\\s\\S\\n\\r]*?)<\\|END_THINKING\\|><\\|START_ACTION\\|>([\\s\\S\\n\\r]*?)<\\|END_ACTION\\|>"); + std::smatch match; + + common_chat_msg result; + result.role = "assistant"; + if (std::regex_match(input, match, response_regex)) { + result.content = match[1].str(); + } else if (std::regex_match(input, match, thought_action_regex)) { + result.tool_plan = match[1].str(); + auto actions_str = match[2].str(); + auto actions = json::parse(actions_str); + for (const auto & action : actions) { + result.tool_calls.push_back({ + /* .name = */ action["tool_name"], + /* .arguments = */ action["parameters"].dump(), + /* .id = */ action["tool_call_id"], + }); + } + } else { + LOG_ERR("Failed to parse command_r output"); + result.content = input; + } + return result; +} + static void expect_tool_parameters(const std::string & name, const json & parameters, const std::vector & expected_properties) { if (!parameters.is_object() || !parameters.contains("type") || parameters["type"] != "object" || !parameters.contains("properties") || !parameters.contains("required")) { throw std::runtime_error("Parameters of tool " + name + " must be an object w/ required properties"); @@ -403,7 +499,7 @@ static common_chat_params common_chat_params_init_llama_3_1_tool_calls(const com builder.add_rule("root", string_join(tool_rules, " | ")); }, grammar_options); data.additional_stops.push_back("<|eom_id|>"); - data.prompt = tmpl.apply(inputs.messages, inputs.tools.empty() ? json() : inputs.tools, inputs.add_generation_prompt, { + data.prompt = apply(tmpl, inputs.messages, inputs.tools.empty() ? json() : inputs.tools, inputs.add_generation_prompt, { {"tools_in_user_message", false}, {"builtin_tools", builtin_tools.empty() ? json() : builtin_tools}, }); @@ -462,9 +558,14 @@ static common_chat_params common_chat_params_init_deepseek_r1(const common_chat_ "\"<｜tool▁call▁begin｜>function<｜tool▁sep｜>" + name + "\\n```json\\n\" " + args_rule + " \"```<｜tool▁call▁end｜>\"")); }); data.grammar_triggers.push_back({"<｜tool▁calls▁begin｜>", /* .at_start = */ false}); + data.preserved_tokens = { + "<｜tool▁sep｜>", + "<｜tool▁call▁end｜>", + }; builder.add_rule("root", "\"<｜tool▁calls▁begin｜>\" (" + string_join(tool_rules, " | ") + ")" + (inputs.parallel_tool_calls ? "*" : "") + " space"); }, grammar_options); - data.prompt = tmpl.apply(inputs.messages, inputs.tools.empty() ? json() : inputs.tools, inputs.add_generation_prompt); + auto prompt = apply(tmpl, inputs.messages, inputs.tools.empty() ? json() : inputs.tools, inputs.add_generation_prompt); + data.prompt = prompt; data.format = COMMON_CHAT_FORMAT_DEEPSEEK_R1; return data; } @@ -478,10 +579,10 @@ static common_chat_msg common_chat_parse_deepseek_r1(const std::string & input) static common_chat_params common_chat_params_init_firefunction_v2(const common_chat_template & tmpl, const struct common_chat_inputs & inputs) { fprintf(stderr, "%s\n", __func__); common_chat_params data; - data.prompt = tmpl.apply(inputs.messages, /* tools= */ nullptr, inputs.add_generation_prompt, { + data.prompt = apply(tmpl, inputs.messages, /* tools= */ nullptr, inputs.add_generation_prompt, { {"datetime", "Jan 29 2025 13:00:00 GMT"}, {"functions", json(inputs.tools.empty() ? "" : inputs.tools.dump(2))}, - }, /* adjust_inputs= */ false); + }); if (!inputs.tools.is_null() && !inputs.tools.empty()) { data.grammar_lazy = inputs.tool_choice != "required"; data.grammar = build_grammar([&](const common_grammar_builder & builder) { @@ -525,7 +626,7 @@ static common_chat_params common_chat_params_init_functionary_v3_2(const common_ // >>>all\nlet's call functions>>>fn1\n{"arg1": 1...}\n>>>fn2\n{"arg1": 1...}... // Using ">>>f1\n", ">>>f2\n"... as trigger words for the grammar common_chat_params data; - data.prompt = tmpl.apply(inputs.messages, inputs.tools.empty() ? json() : inputs.tools, inputs.add_generation_prompt); + data.prompt = apply(tmpl, inputs.messages, inputs.tools.empty() ? json() : inputs.tools, inputs.add_generation_prompt); data.format = COMMON_CHAT_FORMAT_FUNCTIONARY_V3_2; if (!inputs.tools.is_null() && !inputs.tools.empty()) { data.grammar_lazy = inputs.tool_choice != "required"; @@ -652,7 +753,7 @@ static common_chat_params common_chat_params_init_functionary_v3_1_llama_3_1(con data.grammar_triggers.push_back({"\" space " + builder.add_rule("tool_call", string_join(tool_rules, " | ")) + " \"\" space"; builder.add_rule("root", inputs.parallel_tool_calls ? "(" + tool_call + ")+" : tool_call); data.grammar_triggers.push_back({"", /* .at_start = */ false}); - // Not really a trigger but need to print this special token to get a successful parse. - data.grammar_triggers.push_back({"", /* .at_start = */ false}); + data.preserved_tokens = { "" }; }, grammar_options); - data.prompt = tmpl.apply(inputs.messages, inputs.tools.empty() ? json() : inputs.tools, inputs.add_generation_prompt); + data.prompt = apply(tmpl, inputs.messages, inputs.tools.empty() ? json() : inputs.tools, inputs.add_generation_prompt); data.format = COMMON_CHAT_FORMAT_HERMES_2_PRO; return data; } @@ -769,7 +869,7 @@ static common_chat_msg common_chat_parse_hermes_2_pro(const std::string & input) static common_chat_params common_chat_params_init_without_tools(const common_chat_template & tmpl, const struct common_chat_inputs & inputs) { common_chat_params data; - data.prompt = tmpl.apply(inputs.messages, inputs.tools.empty() ? json() : inputs.tools, inputs.add_generation_prompt); + data.prompt = apply(tmpl, inputs.messages, inputs.tools.empty() ? json() : inputs.tools, inputs.add_generation_prompt); data.format = COMMON_CHAT_FORMAT_CONTENT_ONLY; data.grammar_lazy = false; if (!inputs.json_schema.is_null()) { @@ -822,6 +922,9 @@ common_chat_params common_chat_params_init(const common_chat_template & tmpl, co if (src.find("[TOOL_CALLS]") != std::string::npos) { return common_chat_params_init_mistral_nemo(tmpl, inputs); } + if (src.find("<|END_THINKING|><|START_ACTION|>") != std::string::npos) { + return common_chat_params_init_command_r7b(tmpl, inputs); + } return common_chat_params_init_generic(tmpl, inputs); } @@ -855,6 +958,8 @@ common_chat_msg common_chat_parse(const std::string & input, common_chat_format return common_chat_parse_hermes_2_pro(input); case COMMON_CHAT_FORMAT_FIREFUNCTION_V2: return common_chat_parse_firefunction_v2(input); + case COMMON_CHAT_FORMAT_COMMAND_R7B: + return common_chat_parse_command_r7b(input); default: throw std::runtime_error("Unsupported format: " + common_chat_format_name(format)); } diff --git a/common/chat.hpp b/common/chat.hpp index ca165aa13..33e64a430 100644 --- a/common/chat.hpp +++ b/common/chat.hpp @@ -32,6 +32,7 @@ enum common_chat_format { COMMON_CHAT_FORMAT_FUNCTIONARY_V3_2, COMMON_CHAT_FORMAT_FUNCTIONARY_V3_1_LLAMA_3_1, COMMON_CHAT_FORMAT_HERMES_2_PRO, + COMMON_CHAT_FORMAT_COMMAND_R7B, COMMON_CHAT_FORMAT_COUNT, // Not a format, just the # formats }; @@ -42,6 +43,7 @@ struct common_chat_params { std::string grammar; bool grammar_lazy = false; std::vector grammar_triggers; + std::vector preserved_tokens; std::vector additional_stops; }; diff --git a/common/common.cpp b/common/common.cpp index b390fc250..669ea8f2d 100644 --- a/common/common.cpp +++ b/common/common.cpp @@ -1871,11 +1871,19 @@ std::string common_chat_format_example(const common_chat_template & tmpl, bool u return common_chat_apply_template(tmpl, msgs, true, use_jinja); } +#define CHATML_TEMPLATE_SRC \ + "{%- for message in messages -%}\n" \ + " {{- '<|im_start|>' + message.role + '\n' + message.content + '<|im_end|>\n' -}}\n" \ + "{%- endfor -%}\n" \ + "{%- if add_generation_prompt -%}\n" \ + " {{- '<|im_start|>assistant\n' -}}\n" \ + "{%- endif -%}" + common_chat_templates common_chat_templates_from_model(const struct llama_model * model, const std::string & chat_template_override) { - auto vocab = llama_model_get_vocab(model); - std::string default_template_src = chat_template_override; - std::string template_tool_use_src = chat_template_override; + std::string default_template_src; + std::string template_tool_use_src; + bool has_explicit_template = !chat_template_override.empty(); if (chat_template_override.empty()) { auto str = llama_model_chat_template(model, /* name */ nullptr); @@ -1888,21 +1896,17 @@ common_chat_templates common_chat_templates_from_model(const struct llama_model template_tool_use_src = str; has_explicit_template = true; } + } else { + default_template_src = chat_template_override; } if (default_template_src.empty() || default_template_src == "chatml") { if (!template_tool_use_src.empty()) { default_template_src = template_tool_use_src; } else { - default_template_src = R"( - {%- for message in messages -%} - {{- "<|im_start|>" + message.role + "\n" + message.content + "<|im_end|>\n" -}} - {%- endfor -%} - {%- if add_generation_prompt -%} - {{- "<|im_start|>assistant\n" -}} - {%- endif -%} - )"; + default_template_src = CHATML_TEMPLATE_SRC; } } + auto vocab = llama_model_get_vocab(model); const auto get_token = [&](llama_token token, const char * name, const char * jinja_variable_name) { if (token == LLAMA_TOKEN_NULL) { if (default_template_src.find(jinja_variable_name) != std::string::npos @@ -1916,13 +1920,22 @@ common_chat_templates common_chat_templates_from_model(const struct llama_model }; auto token_bos = get_token(llama_vocab_bos(vocab), "BOS", "bos_token"); auto token_eos = get_token(llama_vocab_eos(vocab), "EOS", "eos_token"); - return { - has_explicit_template, - std::make_unique(default_template_src, token_bos, token_eos), - template_tool_use_src.empty() - ? nullptr - : std::make_unique(template_tool_use_src, token_bos, token_eos) - }; + try { + return { + has_explicit_template, + std::make_unique(default_template_src, token_bos, token_eos), + template_tool_use_src.empty() + ? nullptr + : std::make_unique(template_tool_use_src, token_bos, token_eos), + }; + } catch (const std::exception & e) { + LOG_ERR("%s: failed to parse chat template: %s\n", __func__, e.what()); + return { + has_explicit_template, + std::make_unique(CHATML_TEMPLATE_SRC, token_bos, token_eos), + nullptr, + }; + } } // diff --git a/common/common.h b/common/common.h index a9581a6ce..09d45279a 100644 --- a/common/common.h +++ b/common/common.h @@ -4,6 +4,7 @@ #include "llama-cpp.h" +#include #include #include #include @@ -159,6 +160,7 @@ struct common_params_sampling { bool grammar_lazy = false; std::vector grammar_trigger_words; // optional trigger words to trigger lazy grammar std::vector grammar_trigger_tokens; // optional trigger tokens to trigger lazy grammar and print trigger special tokens. + std::set preserved_tokens; std::vector logit_bias; // logit biases to apply @@ -617,6 +619,7 @@ struct common_chat_msg { std::string role; std::string content; std::vector tool_calls; + std::string tool_plan = ""; }; // Check if the template supplied via "--chat-template" is supported or not. Returns true if it's valid diff --git a/common/json-schema-to-grammar.cpp b/common/json-schema-to-grammar.cpp index 1f47e313e..3ebcc3d9f 100644 --- a/common/json-schema-to-grammar.cpp +++ b/common/json-schema-to-grammar.cpp @@ -991,7 +991,14 @@ public: } }; -std::string json_schema_to_grammar(const json & schema) { +std::string json_schema_to_grammar(const json & schema, bool force_gbnf) { +#ifdef LLAMA_USE_LLGUIDANCE + if (!force_gbnf) { + return "%llguidance {}\nstart: %json " + schema.dump(); + } +#else + (void)force_gbnf; +#endif // LLAMA_USE_LLGUIDANCE return build_grammar([&](const common_grammar_builder & callbacks) { auto copy = schema; callbacks.resolve_refs(copy); diff --git a/common/json-schema-to-grammar.h b/common/json-schema-to-grammar.h index ba4112cb9..62a3b0a44 100644 --- a/common/json-schema-to-grammar.h +++ b/common/json-schema-to-grammar.h @@ -5,7 +5,8 @@ #define JSON_ASSERT GGML_ASSERT #include "json.hpp" -std::string json_schema_to_grammar(const nlohmann::ordered_json & schema); +std::string json_schema_to_grammar(const nlohmann::ordered_json & schema, + bool force_gbnf = false); struct common_grammar_builder { std::function add_rule; diff --git a/common/llguidance.cpp b/common/llguidance.cpp new file mode 100644 index 000000000..7aa8ddd80 --- /dev/null +++ b/common/llguidance.cpp @@ -0,0 +1,270 @@ +#include "sampling.h" +#include "log.h" + +#ifdef LLAMA_USE_LLGUIDANCE + +# include "llguidance.h" +# include + +struct llama_sampler_llg { + const llama_vocab * vocab; + std::string grammar_kind; + std::string grammar_data; + LlgTokenizer * tokenizer; + LlgConstraint * grammar; + LlgMaskResult llg_res; + bool has_llg_res; +}; + +static LlgConstraint * llama_sampler_llg_new(LlgTokenizer * tokenizer, const char * grammar_kind, + const char * grammar_data) { + LlgConstraintInit cinit; + llg_constraint_init_set_defaults(&cinit, tokenizer); + const char * log_level = getenv("LLGUIDANCE_LOG_LEVEL"); + if (log_level && *log_level) { + cinit.log_stderr_level = atoi(log_level); + } + auto c = llg_new_constraint_any(&cinit, grammar_kind, grammar_data); + if (llg_get_error(c)) { + LOG_ERR("llg error: %s\n", llg_get_error(c)); + llg_free_constraint(c); + return nullptr; + } + return c; +} + +static const char * llama_sampler_llg_name(const llama_sampler * /*smpl*/) { + return "llguidance"; +} + +static void llama_sampler_llg_accept_impl(llama_sampler * smpl, llama_token token) { + auto * ctx = (llama_sampler_llg *) smpl->ctx; + if (ctx->grammar) { + LlgCommitResult res; + llg_commit_token(ctx->grammar, token, &res); + ctx->has_llg_res = false; + } +} + +static void llama_sampler_llg_apply(llama_sampler * smpl, llama_token_data_array * cur_p) { + auto * ctx = (llama_sampler_llg *) smpl->ctx; + if (ctx->grammar) { + if (!ctx->has_llg_res) { + if (llg_compute_mask(ctx->grammar, &ctx->llg_res) == 0) { + ctx->has_llg_res = true; + } else { + LOG_ERR("llg error: %s\n", llg_get_error(ctx->grammar)); + llg_free_constraint(ctx->grammar); + ctx->grammar = nullptr; + } + } + if (ctx->has_llg_res) { + if (ctx->llg_res.is_stop) { + for (size_t i = 0; i < cur_p->size; ++i) { + if (!llama_vocab_is_eog(ctx->vocab, cur_p->data[i].id)) { + cur_p->data[i].logit = -INFINITY; + } + } + } else { + const uint32_t * mask = ctx->llg_res.sample_mask; + for (size_t i = 0; i < cur_p->size; ++i) { + auto token = cur_p->data[i].id; + if ((mask[token / 32] & (1 << (token % 32))) == 0) { + cur_p->data[i].logit = -INFINITY; + } + } + } + } + } +} + +static void llama_sampler_llg_reset(llama_sampler * smpl) { + auto * ctx = (llama_sampler_llg *) smpl->ctx; + if (!ctx->grammar) { + return; + } + + auto * grammar_new = llama_sampler_llg_new(ctx->tokenizer, ctx->grammar_kind.c_str(), ctx->grammar_data.c_str()); + llg_free_constraint(ctx->grammar); + ctx->grammar = grammar_new; + ctx->has_llg_res = false; +} + +static llama_sampler * llama_sampler_llg_clone(const llama_sampler * smpl) { + const auto * ctx = (const llama_sampler_llg *) smpl->ctx; + + auto * result = llama_sampler_init_llg(ctx->vocab, nullptr, nullptr); + + // copy the state + { + auto * result_ctx = (llama_sampler_llg *) result->ctx; + + if (ctx->grammar) { + result_ctx->grammar_kind = ctx->grammar_kind; + result_ctx->grammar_data = ctx->grammar_data; + result_ctx->grammar = llg_clone_constraint(ctx->grammar); + result_ctx->tokenizer = llg_clone_tokenizer(ctx->tokenizer); + } + } + + return result; +} + +static void llama_sampler_llg_free(llama_sampler * smpl) { + const auto * ctx = (llama_sampler_llg *) smpl->ctx; + + if (ctx->grammar) { + llg_free_constraint(ctx->grammar); + llg_free_tokenizer(ctx->tokenizer); + } + + delete ctx; +} + +static llama_sampler_i llama_sampler_llg_i = { + /* .name = */ llama_sampler_llg_name, + /* .accept = */ llama_sampler_llg_accept_impl, + /* .apply = */ llama_sampler_llg_apply, + /* .reset = */ llama_sampler_llg_reset, + /* .clone = */ llama_sampler_llg_clone, + /* .free = */ llama_sampler_llg_free, +}; + +static size_t llama_sampler_llg_tokenize_fn(const void * user_data, const uint8_t * bytes, size_t bytes_len, + uint32_t * output_tokens, size_t output_tokens_len) { + const llama_vocab * vocab = (const llama_vocab *) user_data; + int r = 0; + try { + r = llama_tokenize(vocab, (const char *) bytes, bytes_len, (int32_t *) output_tokens, output_tokens_len, false, + true); + } catch (const std::exception & e) { + GGML_ABORT("llama_tokenize failed: %s\n", e.what()); + } + if (r < 0) { + return -r; + } + return r; +} + +static LlgTokenizer * llama_sampler_llg_new_tokenizer(const llama_vocab * vocab) { + // TODO store the tokenizer in the vocab somehow + static const llama_vocab * vocab_cache; + static LlgTokenizer * tokenizer_cache; + + if (vocab_cache == vocab) { + return llg_clone_tokenizer(tokenizer_cache); + } + + auto tok_eos = llama_vocab_eot(vocab); + if (tok_eos == LLAMA_TOKEN_NULL) { + tok_eos = llama_vocab_eos(vocab); + } + + size_t vocab_size = llama_vocab_n_tokens(vocab); + + auto token_lens = new uint32_t[vocab_size]; + // we typically have ~7 bytes per token; let's go on the safe side here + auto token_bytes_size = vocab_size * 16 + 1024 * 1024; + auto token_bytes = new uint8_t[token_bytes_size]; + + size_t offset = 0; + for (size_t i = 0; i < vocab_size; i++) { + size_t max_token = 1024; + if (token_bytes_size - offset < max_token) { + GGML_ABORT("token_bytes buffer too small\n"); + } + + llama_token token = i; + auto dp = (char *) token_bytes + offset; + auto size = llama_detokenize(vocab, &token, 1, dp, max_token, false, false); + if (size < 0) { + GGML_ABORT("llama_detokenize failed\n"); + } + if (size == 0) { + size = llama_detokenize(vocab, &token, 1, dp + 1, max_token - 1, false, true); + if (size < 0) { + GGML_ABORT("llama_detokenize failed\n"); + } + if (size != 0) { + *dp = '\xff'; // special token prefix marker + size += 1; + } + } + + token_lens[i] = size; + offset += size; + } + + LlgTokenizerInit tinit = { + /* .vocab_size = */ (uint32_t) vocab_size, + /* .tok_eos = */ (uint32_t) tok_eos, + /* .token_lens = */ token_lens, + /* .token_bytes = */ token_bytes, + /* .tokenizer_json = */ nullptr, + /* .tokenize_assumes_string = */ true, + /* .tokenize_fn = */ llama_sampler_llg_tokenize_fn, + /* .use_approximate_greedy_tokenize_fn = */ false, + /* .tokenize_user_data = */ vocab, + }; + + char error_buffer[1024]; + LlgTokenizer * tokenizer = llg_new_tokenizer(&tinit, error_buffer, sizeof(error_buffer)); + + delete[] token_bytes; + delete[] token_lens; + + if (tokenizer == nullptr) { + LOG_ERR("llg tokenizer error: %s\n", error_buffer); + return tokenizer; + } + + if (tokenizer_cache) { + llg_free_tokenizer(tokenizer_cache); + } + vocab_cache = vocab; + tokenizer_cache = tokenizer; + + return llg_clone_tokenizer(tokenizer_cache); +} + +llama_sampler * llama_sampler_init_llg(const llama_vocab * vocab, const char * grammar_kind, + const char * grammar_data) { + auto * ctx = new llama_sampler_llg; + + if (grammar_kind != nullptr && grammar_kind[0] != '\0') { + auto tokenizer = llama_sampler_llg_new_tokenizer(vocab); + *ctx = { + /* .vocab = */ vocab, + /* .grammar_kind = */ grammar_kind, + /* .grammar_data = */ grammar_data, + /* .tokenizer = */ tokenizer, + /* .grammar = */ llama_sampler_llg_new(tokenizer, grammar_kind, grammar_data), + /* .llg_res = */ {}, + /* .has_llg_res = */ false, + }; + } else { + *ctx = { + /* .vocab = */ vocab, + /* .grammar_kind = */ {}, + /* .grammar_data = */ {}, + /* .tokenizer = */ nullptr, + /* .grammar = */ nullptr, + /* .llg_res = */ {}, + /* .has_llg_res = */ false, + }; + } + + return new llama_sampler{ + /* .iface = */ &llama_sampler_llg_i, + /* .ctx = */ ctx, + }; +} + +#else + +llama_sampler * llama_sampler_init_llg(const llama_vocab *, const char *, const char *) { + LOG_WRN("llguidance (cmake -DLLAMA_LLGUIDANCE=ON) is not enabled"); + return nullptr; +} + +#endif // LLAMA_USE_LLGUIDANCE diff --git a/common/log.cpp b/common/log.cpp index 0b8994ae1..4bfbecf15 100644 --- a/common/log.cpp +++ b/common/log.cpp @@ -14,16 +14,6 @@ void common_log_set_verbosity_thold(int verbosity) { common_log_verbosity_thold = verbosity; } -#define LOG_COL_DEFAULT "\033[0m" -#define LOG_COL_BOLD "\033[1m" -#define LOG_COL_RED "\033[31m" -#define LOG_COL_GREEN "\033[32m" -#define LOG_COL_YELLOW "\033[33m" -#define LOG_COL_BLUE "\033[34m" -#define LOG_COL_MAGENTA "\033[35m" -#define LOG_COL_CYAN "\033[36m" -#define LOG_COL_WHITE "\033[37m" - static int64_t t_us() { return std::chrono::duration_cast(std::chrono::system_clock::now().time_since_epoch()).count(); } diff --git a/common/log.h b/common/log.h index 66605cc69..85dd4393b 100644 --- a/common/log.h +++ b/common/log.h @@ -2,6 +2,16 @@ #include "ggml.h" // for ggml_log_level +#define LOG_COL_DEFAULT "\033[0m" +#define LOG_COL_BOLD "\033[1m" +#define LOG_COL_RED "\033[31m" +#define LOG_COL_GREEN "\033[32m" +#define LOG_COL_YELLOW "\033[33m" +#define LOG_COL_BLUE "\033[34m" +#define LOG_COL_MAGENTA "\033[35m" +#define LOG_COL_CYAN "\033[36m" +#define LOG_COL_WHITE "\033[37m" + #ifndef __GNUC__ # define LOG_ATTRIBUTE_FORMAT(...) #elif defined(__MINGW32__) diff --git a/common/minja.hpp b/common/minja.hpp index f0e80fd7c..c304b5c66 100644 --- a/common/minja.hpp +++ b/common/minja.hpp @@ -693,7 +693,7 @@ enum SpaceHandling { Keep, Strip, StripSpaces, StripNewline }; class TemplateToken { public: - enum class Type { Text, Expression, If, Else, Elif, EndIf, For, EndFor, Generation, EndGeneration, Set, EndSet, Comment, Macro, EndMacro, Filter, EndFilter }; + enum class Type { Text, Expression, If, Else, Elif, EndIf, For, EndFor, Generation, EndGeneration, Set, EndSet, Comment, Macro, EndMacro, Filter, EndFilter, Break, Continue }; static std::string typeToString(Type t) { switch (t) { @@ -714,6 +714,8 @@ public: case Type::EndFilter: return "endfilter"; case Type::Generation: return "generation"; case Type::EndGeneration: return "endgeneration"; + case Type::Break: return "break"; + case Type::Continue: return "continue"; } return "Unknown"; } @@ -815,6 +817,22 @@ struct CommentTemplateToken : public TemplateToken { CommentTemplateToken(const Location & location, SpaceHandling pre, SpaceHandling post, const std::string& t) : TemplateToken(Type::Comment, location, pre, post), text(t) {} }; +enum class LoopControlType { Break, Continue }; + +class LoopControlException : public std::runtime_error { +public: + LoopControlType control_type; + LoopControlException(const std::string & message, LoopControlType control_type) : std::runtime_error(message), control_type(control_type) {} + LoopControlException(LoopControlType control_type) + : std::runtime_error((control_type == LoopControlType::Continue ? "continue" : "break") + std::string(" outside of a loop")), + control_type(control_type) {} +}; + +struct LoopControlTemplateToken : public TemplateToken { + LoopControlType control_type; + LoopControlTemplateToken(const Location & location, SpaceHandling pre, SpaceHandling post, LoopControlType control_type) : TemplateToken(Type::Break, location, pre, post), control_type(control_type) {} +}; + class TemplateNode { Location location_; protected: @@ -825,6 +843,12 @@ public: void render(std::ostringstream & out, const std::shared_ptr & context) const { try { do_render(out, context); + } catch (const LoopControlException & e) { + // TODO: make stack creation lazy. Only needed if it was thrown outside of a loop. + std::ostringstream err; + err << e.what(); + if (location_.source) err << error_location_suffix(*location_.source, location_.pos); + throw LoopControlException(err.str(), e.control_type); } catch (const std::exception & e) { std::ostringstream err; err << e.what(); @@ -897,6 +921,15 @@ public: } }; +class LoopControlNode : public TemplateNode { + LoopControlType control_type_; + public: + LoopControlNode(const Location & location, LoopControlType control_type) : TemplateNode(location), control_type_(control_type) {} + void do_render(std::ostringstream &, const std::shared_ptr &) const override { + throw LoopControlException(control_type_); + } +}; + class ForNode : public TemplateNode { std::vector var_names; std::shared_ptr iterable; @@ -961,7 +994,12 @@ public: loop.set("last", i == (n - 1)); loop.set("previtem", i > 0 ? filtered_items.at(i - 1) : Value()); loop.set("nextitem", i < n - 1 ? filtered_items.at(i + 1) : Value()); - body->render(out, loop_context); + try { + body->render(out, loop_context); + } catch (const LoopControlException & e) { + if (e.control_type == LoopControlType::Break) break; + if (e.control_type == LoopControlType::Continue) continue; + } } } }; @@ -2156,10 +2194,10 @@ private: } TemplateTokenVector tokenize() { - static std::regex comment_tok(R"(\{#([-~]?)(.*?)([-~]?)#\})"); + static std::regex comment_tok(R"(\{#([-~]?)([\s\S\r\n]*?)([-~]?)#\})"); static std::regex expr_open_regex(R"(\{\{([-~])?)"); static std::regex block_open_regex(R"(^\{%([-~])?[\s\n\r]*)"); - static std::regex block_keyword_tok(R"((if|else|elif|endif|for|endfor|generation|endgeneration|set|endset|block|endblock|macro|endmacro|filter|endfilter)\b)"); + static std::regex block_keyword_tok(R"((if|else|elif|endif|for|endfor|generation|endgeneration|set|endset|block|endblock|macro|endmacro|filter|endfilter|break|continue)\b)"); static std::regex non_text_open_regex(R"(\{\{|\{%|\{#)"); static std::regex expr_close_regex(R"([\s\n\r]*([-~])?\}\})"); static std::regex block_close_regex(R"([\s\n\r]*([-~])?%\})"); @@ -2291,6 +2329,9 @@ private: } else if (keyword == "endfilter") { auto post_space = parseBlockClose(); tokens.push_back(std::make_unique(location, pre_space, post_space)); + } else if (keyword == "break" || keyword == "continue") { + auto post_space = parseBlockClose(); + tokens.push_back(std::make_unique(location, pre_space, post_space, keyword == "break" ? LoopControlType::Break : LoopControlType::Continue)); } else { throw std::runtime_error("Unexpected block: " + keyword); } @@ -2414,6 +2455,8 @@ private: children.emplace_back(std::make_shared(token->location, std::move(filter_token->filter), std::move(body))); } else if (dynamic_cast(token.get())) { // Ignore comments + } else if (auto ctrl_token = dynamic_cast(token.get())) { + children.emplace_back(std::make_shared(token->location, ctrl_token->control_type)); } else if (dynamic_cast(token.get()) || dynamic_cast(token.get()) || dynamic_cast(token.get()) @@ -2572,6 +2615,7 @@ inline std::shared_ptr Context::builtins() { })); globals.set("join", simple_function("join", { "items", "d" }, [](const std::shared_ptr &, Value & args) { auto do_join = [](Value & items, const std::string & sep) { + if (!items.is_array()) throw std::runtime_error("object is not iterable: " + items.dump()); std::ostringstream oss; auto first = true; for (size_t i = 0, n = items.size(); i < n; ++i) { @@ -2652,6 +2696,10 @@ inline std::shared_ptr Context::builtins() { return Value::callable([=](const std::shared_ptr & context, ArgumentsValue & args) { args.expectArgs(is_select ? "select" : "reject", {2, (std::numeric_limits::max)()}, {0, 0}); auto & items = args.args[0]; + if (items.is_null()) + return Value::array(); + if (!items.is_array()) throw std::runtime_error("object is not iterable: " + items.dump()); + auto filter_fn = context->get(args.args[1]); if (filter_fn.is_null()) throw std::runtime_error("Undefined filter: " + args.args[1].dump()); @@ -2729,6 +2777,7 @@ inline std::shared_ptr Context::builtins() { auto & items = args.args[0]; if (items.is_null()) return Value::array(); + if (!items.is_array()) throw std::runtime_error("object is not iterable: " + items.dump()); auto attr_name = args.args[1].get(); bool has_test = false; diff --git a/common/sampling.cpp b/common/sampling.cpp index bc7e49fdb..e4b21ca10 100644 --- a/common/sampling.cpp +++ b/common/sampling.cpp @@ -156,13 +156,25 @@ struct common_sampler * common_sampler_init(const struct llama_model * model, co for (const auto & str : params.grammar_trigger_words) { trigger_words.push_back(str.word.c_str()); } + + struct llama_sampler * grmr; + if (params.grammar.compare(0, 11, "%llguidance") == 0) { +#ifdef LLAMA_USE_LLGUIDANCE + grmr = llama_sampler_init_llg(vocab, "lark", params.grammar.c_str()); +#else + GGML_ABORT("llguidance (cmake -DLLAMA_LLGUIDANCE=ON) is not enabled"); +#endif // LLAMA_USE_LLGUIDANCE + } else { + grmr = params.grammar_lazy + ? llama_sampler_init_grammar_lazy(vocab, params.grammar.c_str(), "root", + trigger_words.data(), trigger_words.size(), + params.grammar_trigger_tokens.data(), params.grammar_trigger_tokens.size()) + : llama_sampler_init_grammar(vocab, params.grammar.c_str(), "root"); + } + auto * result = new common_sampler { /* .params = */ params, - /* .grmr = */ params.grammar_lazy - ? llama_sampler_init_grammar_lazy(vocab, params.grammar.c_str(), "root", - trigger_words.data(), trigger_words.size(), - params.grammar_trigger_tokens.data(), params.grammar_trigger_tokens.size()) - : llama_sampler_init_grammar(vocab, params.grammar.c_str(), "root"), + /* .grmr = */ grmr, /* .chain = */ llama_sampler_chain_init(lparams), /* .prev = */ ring_buffer(std::max(32, params.n_prev)), /* .cur = */ {}, diff --git a/common/sampling.h b/common/sampling.h index 348911b18..2064421db 100644 --- a/common/sampling.h +++ b/common/sampling.h @@ -102,3 +102,6 @@ std::string common_sampler_type_to_str(enum common_sampler_type cnstr); std::vector common_sampler_types_from_names(const std::vector & names, bool allow_alt_names); std::vector common_sampler_types_from_chars(const std::string & chars); + +llama_sampler * llama_sampler_init_llg(const llama_vocab * vocab, + const char * grammar_kind, const char * grammar_data); diff --git a/convert_hf_to_gguf.py b/convert_hf_to_gguf.py index 63b54a9cf..018a2a588 100755 --- a/convert_hf_to_gguf.py +++ b/convert_hf_to_gguf.py @@ -648,7 +648,7 @@ class Model: if chkhsh == "7967bfa498ade6b757b064f31e964dddbb80f8f9a4d68d4ba7998fcf281c531a": # ref: https://huggingface.co/jinaai/jina-embeddings-v2-base-code res = "jina-v2-code" - if chkhsh == "b6e8e1518dc4305be2fe39c313ed643381c4da5db34a98f6a04c093f8afbe99b": + if chkhsh == "b6e8e1518dc4305be2fe39c313ed643381c4da5db34a98f6a04c093f8afbe99b" or chkhsh == "81d72c7348a9f0ebe86f23298d37debe0a5e71149e29bd283904c02262b27516": # ref: https://huggingface.co/THUDM/glm-4-9b-chat res = "chatglm-bpe" if chkhsh == "7fc505bd3104ca1083b150b17d088b59534ede9bde81f0dd2090967d7fe52cee": @@ -4513,7 +4513,7 @@ class JaisModel(Model): self.gguf_writer.add_max_alibi_bias(self.max_alibi_bias) -@Model.register("ChatGLMModel", "ChatGLMForConditionalGeneration") +@Model.register("GlmForCausalLM", "ChatGLMModel", "ChatGLMForConditionalGeneration") class ChatGLMModel(Model): model_arch = gguf.MODEL_ARCH.CHATGLM @@ -4619,47 +4619,15 @@ class ChatGLMModel(Model): from transformers import AutoTokenizer tokenizer = AutoTokenizer.from_pretrained(dir_model, trust_remote_code=True) - vocab_size = hparams["padded_vocab_size"] + vocab_size = hparams.get("padded_vocab_size",hparams["vocab_size"]) assert max(tokenizer.get_vocab().values()) < vocab_size - tokpre = self.get_vocab_base_pre(tokenizer) - - merges = [] - vocab = {} - mergeable_ranks = tokenizer.mergeable_ranks - for token, rank in mergeable_ranks.items(): - vocab[ChatGLMModel.token_bytes_to_string(token)] = rank - if len(token) == 1: - continue - merged = ChatGLMModel.bpe(mergeable_ranks, token, max_rank=rank) - assert len(merged) >= 2 and len(merged) <= 7 - merges.append(' '.join(map(ChatGLMModel.token_bytes_to_string, merged))) - - # for this kind of tokenizer, added_vocab is not a subset of vocab, so they need to be combined - added_vocab = tokenizer.get_added_vocab() - reverse_vocab = {id_ : encoded_tok for encoded_tok, id_ in {**vocab, **added_vocab}.items()} - - for i in range(vocab_size): - if i not in reverse_vocab: - tokens.append(f"[PAD{i}]") - toktypes.append(gguf.TokenType.UNUSED) - elif reverse_vocab[i] in added_vocab: - tokens.append(reverse_vocab[i]) - if tokenizer.added_tokens_decoder[i].special: - toktypes.append(gguf.TokenType.CONTROL) - else: - toktypes.append(gguf.TokenType.USER_DEFINED) - else: - tokens.append(reverse_vocab[i]) - toktypes.append(gguf.TokenType.NORMAL) - + tokens, toktypes, tokpre = self.get_vocab_base() self.gguf_writer.add_tokenizer_model("gpt2") self.gguf_writer.add_tokenizer_pre(tokpre) self.gguf_writer.add_token_list(tokens) self.gguf_writer.add_token_types(toktypes) - - special_vocab = gguf.SpecialVocab(dir_model, load_merges=False) - special_vocab.merges = merges + special_vocab = gguf.SpecialVocab(self.dir_model, load_merges=True) # only add special tokens when they were not already loaded from config.json special_vocab._set_special_token("eos", tokenizer.get_added_vocab()["<|endoftext|>"]) special_vocab._set_special_token("eot", tokenizer.get_added_vocab()["<|user|>"]) @@ -4670,16 +4638,20 @@ class ChatGLMModel(Model): def set_gguf_parameters(self): n_embed = self.hparams.get("hidden_size", self.hparams.get("n_embed")) n_head = self.hparams.get("n_head", self.hparams.get("num_attention_heads")) - n_head_kv = self.hparams.get("multi_query_group_num", n_head) + n_head_kv = self.hparams.get("multi_query_group_num", self.hparams.get("num_key_value_heads", n_head)) self.gguf_writer.add_context_length(self.hparams.get("seq_length", n_embed)) self.gguf_writer.add_embedding_length(n_embed) - self.gguf_writer.add_feed_forward_length(self.hparams.get("ffn_hidden_size", 4 * n_embed)) - self.gguf_writer.add_block_count(self.hparams["num_layers"]) + self.gguf_writer.add_feed_forward_length(self.hparams.get("ffn_hidden_size", self.hparams.get("intermediate_size", 4 * n_embed))) + self.gguf_writer.add_block_count(self.hparams.get("num_layers", self.hparams["num_hidden_layers"])) self.gguf_writer.add_head_count(n_head) self.gguf_writer.add_head_count_kv(n_head_kv) - self.gguf_writer.add_layer_norm_rms_eps(self.hparams["layernorm_epsilon"]) + self.gguf_writer.add_layer_norm_rms_eps(self.hparams.get("layernorm_epsilon",1e-5)) self.gguf_writer.add_file_type(self.ftype) - self.gguf_writer.add_rope_dimension_count(64) + if "attention_dim" in self.hparams: + rope_dim = self.hparams["attention_dim"] + else: + rope_dim = self.hparams["hidden_size"] // self.hparams["num_attention_heads"] + self.gguf_writer.add_rope_dimension_count(int(rope_dim * self.hparams.get("partial_rotary_factor", 0.5))) self.gguf_writer.add_add_bos_token(False) rope_freq = 10000 if "rope_ratio" in self.hparams: @@ -4689,7 +4661,7 @@ class ChatGLMModel(Model): def modify_tensors(self, data_torch: Tensor, name: str, bid: int | None) -> Iterable[tuple[str, Tensor]]: del bid # unused - if name.endswith(".rotary_pos_emb.inv_freq"): + if name.endswith(".rotary_pos_emb.inv_freq") or name.startswith("model.vision."): return [] name = name.removeprefix("transformer.") diff --git a/docs/cuda-fedora.md b/docs/cuda-fedora.md deleted file mode 100644 index b993386c8..000000000 --- a/docs/cuda-fedora.md +++ /dev/null @@ -1,317 +0,0 @@ -# Setting Up CUDA on Fedora - -In this guide we setup [Nvidia CUDA](https://docs.nvidia.com/cuda/) in a toolbox container. This guide is applicable for: -- [Fedora Workstation](https://fedoraproject.org/workstation/) -- [Atomic Desktops for Fedora](https://fedoraproject.org/atomic-desktops/) -- [Fedora Spins](https://fedoraproject.org/spins) -- [Other Distributions](https://containertoolbx.org/distros/), including `Red Hat Enterprise Linux >= 8.`, `Arch Linux`, and `Ubuntu`. - - -## Table of Contents - -- [Prerequisites](#prerequisites) -- [Monitoring NVIDIA CUDA Repositories](#monitoring-nvidia-cuda-repositories) -- [Using the Fedora 39 CUDA Repository](#using-the-fedora-39-cuda-repository) -- [Creating a Fedora Toolbox Environment](#creating-a-fedora-toolbox-environment) -- [Installing Essential Development Tools](#installing-essential-development-tools) -- [Adding the CUDA Repository](#adding-the-cuda-repository) -- [Installing `nvidia-driver-libs`](#installing-nvidia-driver-libs) -- [Manually Resolving Package Conflicts](#manually-resolving-package-conflicts) -- [Finalizing the Installation of `nvidia-driver-libs`](#finalizing-the-installation-of-nvidia-driver-libs) -- [Installing the CUDA Meta-Package](#installing-the-cuda-meta-package) -- [Configuring the Environment](#configuring-the-environment) -- [Verifying the Installation](#verifying-the-installation) -- [Conclusion](#conclusion) -- [Troubleshooting](#troubleshooting) -- [Additional Notes](#additional-notes) -- [References](#references) - -## Prerequisites - -- **Toolbox Installed on the Host System** `Fedora Silverblue` and `Fedora Workstation` both have toolbox by default, other distributions may need to install the [toolbox package](https://containertoolbx.org/install/). -- **NVIDIA Drivers and Graphics Card installed on Host System (optional)** To run CUDA program, such as `llama.cpp`, the host should be setup to access your NVIDIA hardware. Fedora Hosts can use the [RPM Fusion Repository](https://rpmfusion.org/Howto/NVIDIA). -- **Internet connectivity** to download packages. - -### Monitoring NVIDIA CUDA Repositories - -Before proceeding, it is advisable to check if NVIDIA has updated their CUDA repositories for your Fedora version. NVIDIA's repositories can be found at: - -- [Fedora 40 CUDA Repository](https://developer.download.nvidia.com/compute/cuda/repos/fedora40/x86_64/) -- [Fedora 41 CUDA Repository](https://developer.download.nvidia.com/compute/cuda/repos/fedora41/x86_64/) - -As of the latest update, these repositories do not contain the `cuda` meta-package or are missing essential components. - -### Using the Fedora 39 CUDA Repository - -Since the newer repositories are incomplete, we'll use the Fedora 39 repository: - -- [Fedora 39 CUDA Repository](https://developer.download.nvidia.com/compute/cuda/repos/fedora39/x86_64/) - -**Note:** Fedora 39 is no longer maintained, so we recommend using a toolbox environment to prevent system conflicts. - -## Creating a Fedora Toolbox Environment - -This guide focuses on Fedora hosts, but with small adjustments, it can work for other hosts. Using a Fedora 39 toolbox allows us to install the necessary packages without affecting the host system. - -**Note:** Toolbox is available for other systems, and even without Toolbox, it is possible to use Podman or Docker. - -We do not recommend installing on the host system, as Fedora 39 is out-of-maintenance, and instead you should upgrade to a maintained version of Fedora for your host. - -1. **Create a Fedora 39 Toolbox:** - - ```bash - toolbox create --image registry.fedoraproject.org/fedora-toolbox:39 --container fedora-toolbox-39-cuda - ``` - -2. **Enter the Toolbox:** - - ```bash - toolbox enter --container fedora-toolbox-39-cuda - ``` - - Inside the toolbox, you have root privileges and can install packages without affecting the host system. - -## Installing Essential Development Tools - -1. **Synchronize the DNF Package Manager:** - - ```bash - sudo dnf distro-sync - ``` - -2. **Install the Default Text Editor (Optional):** - - ```bash - sudo dnf install vim-default-editor --allowerasing - ``` - - The `--allowerasing` flag resolves any package conflicts. - -3. **Install Development Tools and Libraries:** - - ```bash - sudo dnf install @c-development @development-tools cmake - ``` - - This installs essential packages for compiling software, including `gcc`, `make`, and other development headers. - -## Adding the CUDA Repository - -Add the NVIDIA CUDA repository to your DNF configuration: - -```bash -sudo dnf config-manager --add-repo https://developer.download.nvidia.com/compute/cuda/repos/fedora39/x86_64/cuda-fedora39.repo -``` - -After adding the repository, synchronize the package manager again: - -```bash -sudo dnf distro-sync -``` - -## Installing `nvidia-driver-libs` - -Attempt to install `nvidia-driver-libs`: - -```bash -sudo dnf install nvidia-driver-libs -``` - -**Explanation:** - -- `nvidia-driver-libs` contains necessary NVIDIA driver libraries required by CUDA. -- This step might fail due to conflicts with existing NVIDIA drivers on the host system. - -## Manually Resolving Package Conflicts - -If the installation fails due to conflicts, we'll manually download and install the required packages, excluding conflicting files. - -### 1. Download the `nvidia-driver-libs` RPM - -```bash -sudo dnf download --arch x86_64 nvidia-driver-libs -``` - -You should see a file similar to: - -``` -nvidia-driver-libs-560.35.05-1.fc39.x86_64.rpm -``` - -### 2. Attempt to Install the RPM - -```bash -sudo dnf install nvidia-driver-libs-560.35.05-1.fc39.x86_64.rpm -``` - -**Expected Error:** - -Installation may fail with errors pointing to conflicts with `egl-gbm` and `egl-wayland`. - -**Note: It is important to carefully read the error messages to identify the exact paths that need to be excluded.** - -### 3. Download Dependencies - -```bash -sudo dnf download --arch x86_64 egl-gbm egl-wayland -``` - -### 4. Install `egl-gbm` with Excluded Paths - -Exclude conflicting files during installation: - -```bash -sudo rpm --install --verbose --hash \ - --excludepath=/usr/lib64/libnvidia-egl-gbm.so.1.1.2 \ - --excludepath=/usr/share/egl/egl_external_platform.d/15_nvidia_gbm.json \ - egl-gbm-1.1.2^20240919gitb24587d-3.fc39.x86_64.rpm -``` - -**Explanation:** - -- The `--excludepath` option skips installing files that conflict with existing files. -- Adjust the paths based on the error messages you receive. - -### 5. Install `egl-wayland` with Excluded Paths - -```bash -sudo rpm --install --verbose --hash \ - --excludepath=/usr/share/egl/egl_external_platform.d/10_nvidia_wayland.json \ - egl-wayland-1.1.17^20241118giteeb29e1-5.fc39.x86_64.rpm -``` - -### 6. Install `nvidia-driver-libs` with Excluded Paths - -```bash -sudo rpm --install --verbose --hash \ - --excludepath=/usr/share/glvnd/egl_vendor.d/10_nvidia.json \ - --excludepath=/usr/share/nvidia/nvoptix.bin \ - nvidia-driver-libs-560.35.05-1.fc39.x86_64.rpm -``` - -**Note:** - -- Replace the paths with the ones causing conflicts in your installation if they differ. -- The `--verbose` and `--hash` options provide detailed output during installation. - -## Finalizing the Installation of `nvidia-driver-libs` - -After manually installing the dependencies, run: - -```bash -sudo dnf install nvidia-driver-libs -``` - -You should receive a message indicating the package is already installed: - -``` -Package nvidia-driver-libs-3:560.35.05-1.fc39.x86_64 is already installed. -Dependencies resolved. -Nothing to do. -Complete! -``` - -## Installing the CUDA Meta-Package - -Now that the driver libraries are installed, proceed to install CUDA: - -```bash -sudo dnf install cuda -``` - -This installs the CUDA toolkit and associated packages. - -## Configuring the Environment - -To use CUDA, add its binary directory to your system's `PATH`. - -1. **Create a Profile Script:** - - ```bash - sudo sh -c 'echo "export PATH=\$PATH:/usr/local/cuda/bin" >> /etc/profile.d/cuda.sh' - ``` - - **Explanation:** - - - We add to `/etc/profile.d/` as the `/etc/` folder is unique to this particular container, and is not shared with other containers or the host system. - - The backslash `\` before `$PATH` ensures the variable is correctly written into the script. - -2. **Make the Script Executable:** - - ```bash - sudo chmod +x /etc/profile.d/cuda.sh - ``` - -3. **Source the Script to Update Your Environment:** - - ```bash - source /etc/profile.d/cuda.sh - ``` - - **Note:** This command updates your current shell session with the new `PATH`. The `/etc/profile.d/cuda.sh` script ensures that the CUDA binaries are available in your `PATH` for all future sessions. - -## Verifying the Installation - -To confirm that CUDA is correctly installed and configured, check the version of the NVIDIA CUDA Compiler (`nvcc`): - -```bash -nvcc --version -``` - -You should see output similar to: - -``` -nvcc: NVIDIA (R) Cuda compiler driver -Copyright (c) 2005-2024 NVIDIA Corporation -Built on Tue_Oct_29_23:50:19_PDT_2024 -Cuda compilation tools, release 12.6, V12.6.85 -Build cuda_12.6.r12.6/compiler.35059454_0 -``` - -This output confirms that the CUDA compiler is accessible and indicates the installed version. - -## Conclusion - -You have successfully set up CUDA on Fedora within a toolbox environment using the Fedora 39 CUDA repository. By manually resolving package conflicts and configuring the environment, you can develop CUDA applications without affecting your host system. - -## Troubleshooting - -- **Installation Failures:** - - If you encounter errors during installation, carefully read the error messages. They often indicate conflicting files or missing dependencies. - - Use the `--excludepath` option with `rpm` to exclude conflicting files during manual installations. - -- **Driver Conflicts:** - - Since the host system may already have NVIDIA drivers installed, conflicts can arise. Using the toolbox environment helps isolate these issues. - -- **Environment Variables Not Set:** - - If `nvcc` is not found after installation, ensure that `/usr/local/cuda/bin` is in your `PATH`. - - Run `echo $PATH` to check if the path is included. - - Re-source the profile script or open a new terminal session. - -## Additional Notes - -- **Updating CUDA in the Future:** - - Keep an eye on the official NVIDIA repositories for updates to your Fedora version. - - When an updated repository becomes available, adjust your `dnf` configuration accordingly. - -- **Building `llama.cpp`:** - - With CUDA installed, you can follow these [build instructions for `llama.cpp`](https://github.com/ggerganov/llama.cpp/blob/master/docs/build.md) to compile it with CUDA support. - - Ensure that any CUDA-specific build flags or paths are correctly set in your build configuration. - -- **Using the Toolbox Environment:** - - The toolbox environment is isolated from your host system, which helps prevent conflicts. - - Remember that system files and configurations inside the toolbox are separate from the host. By default the home directory of the user is shared between the host and the toolbox. - ---- - -**Disclaimer:** Manually installing and modifying system packages can lead to instability of the container. The above steps are provided as a guideline and may need adjustments based on your specific system configuration. Always back up important data before making significant system changes, especially as your home folder is writable and shared with he toolbox. - -**Acknowledgments:** Special thanks to the Fedora community and NVIDIA documentation for providing resources that assisted in creating this guide. - -## References - -- [Fedora Toolbox Documentation](https://docs.fedoraproject.org/en-US/fedora-silverblue/toolbox/) -- [NVIDIA CUDA Installation Guide](https://docs.nvidia.com/cuda/cuda-installation-guide-linux/index.html) -- [Podman Documentation](https://podman.io/get-started) - ---- diff --git a/examples/llava/README-glmedge.md b/examples/llava/README-glmedge.md new file mode 100644 index 000000000..603d01474 --- /dev/null +++ b/examples/llava/README-glmedge.md @@ -0,0 +1,43 @@ +# GLMV-EDGE + +Currently this implementation supports [glm-edge-v-2b](https://huggingface.co/THUDM/glm-edge-v-2b) and [glm-edge-v-5b](https://huggingface.co/THUDM/glm-edge-v-5b). + +## Usage +Build with cmake or run `make llama-llava-cli` to build it. + +After building, run: `./llama-llava-cli` to see the usage. For example: + +```sh +./llama-llava-cli -m model_path/ggml-model-f16.gguf --mmproj model_path/mmproj-model-f16.gguf --image img_path/image.jpg -p "<|system|>\n system prompt <|user|>\n prompt <|assistant|>\n" +``` + +**note**: A lower temperature like 0.1 is recommended for better quality. add `--temp 0.1` to the command to do so. +**note**: For GPU offloading ensure to use the `-ngl` flag just like usual + +## GGUF conversion + +1. Clone a GLMV-EDGE model ([2B](https://huggingface.co/THUDM/glm-edge-v-2b) or [5B](https://huggingface.co/THUDM/glm-edge-v-5b)). For example: + +```sh +git clone https://huggingface.co/THUDM/glm-edge-v-5b or https://huggingface.co/THUDM/glm-edge-v-2b +``` + +2. Use `glmedge-surgery.py` to split the GLMV-EDGE model to LLM and multimodel projector constituents: + +```sh +python ./examples/llava/glmedge-surgery.py -m ../model_path +``` + +4. Use `glmedge-convert-image-encoder-to-gguf.py` to convert the GLMV-EDGE image encoder to GGUF: + +```sh +python ./examples/llava/glmedge-convert-image-encoder-to-gguf.py -m ../model_path --llava-projector ../model_path/glm.projector --output-dir ../model_path +``` + +5. Use `examples/convert_hf_to_gguf.py` to convert the LLM part of GLMV-EDGE to GGUF: + +```sh +python convert_hf_to_gguf.py ../model_path +``` + +Now both the LLM part and the image encoder are in the `model_path` directory. diff --git a/examples/llava/README-quantize.md b/examples/llava/README-quantize.md new file mode 100644 index 000000000..b931513ab --- /dev/null +++ b/examples/llava/README-quantize.md @@ -0,0 +1,44 @@ +# Quantizing CLIP Visual Projector + +This is the tool for quantizing the CLIP visual projector model. Quantization reduces the precision of the model's weights, which can significantly decrease the model size and improve inference speed, often with minimal impact on performance. + +## Usage + +To quantize a CLIP visual projector model, use the following command: + +```sh +./bin/llama-llava-clip-quantize-cli /path/to/ggml-model-f32.gguf /path/to/ggml-model-quantized.gguf +``` + +After the quantization, the visual projector can be used freely with the existing LLAVA cli (LLAVA, Qwen2VL, etc). + +### Arguments + +- `/path/to/ggml-model-f32.gguf`: The path to the input model file in FP32 or FP16 format. +- `/path/to/ggml-model-quantized.gguf`: The path where the quantized model will be saved. +- ``: The quantization type to apply. This should be an integer corresponding to one of the quantization types defined in the `enum ggml_type`. + +### Quantization Types + +The following quantization types are supported, based on the `enum ggml_type` definition: + +- `2` - `q4_0`: 4-bit quantization with a single scale value. +- `3` - `q4_1`: 4-bit quantization with a separate scale value for each block. +- `6` - `q5_0`: 5-bit quantization with a single scale value. +- `7` - `q5_1`: 5-bit quantization with a separate scale value for each block. +- `8` - `q8_0`: 8-bit quantization with a single scale value. + +### Example + +To quantize a model using the `q4_0` quantization type, you would run: + +```sh +./bin/llama-llava-clip-quantize-cli /path/to/ggml-model-f32.gguf /path/to/ggml-model-quantized.gguf 2 +``` + +This command will generate a quantized model at `/path/to/ggml-model-quantized.gguf` using the `q4_0` quantization method. + +## Notes + +- Quantization can lead to a loss in model accuracy, depending on the chosen quantization type. It is recommended to evaluate the quantized model's performance on your specific task to ensure it meets your requirements. +- The quantized model will typically be smaller in size and faster to run, making it more suitable for deployment in resource-constrained environments. diff --git a/examples/llava/android/adb_run.sh b/examples/llava/android/adb_run.sh deleted file mode 100755 index 45ccf8d70..000000000 --- a/examples/llava/android/adb_run.sh +++ /dev/null @@ -1,53 +0,0 @@ -#!/bin/bash - -model_dir="/Users/cxt/model/llm/mobileVLM/MobileVLM-1.7B_processed" -projector_name="mmproj-model-f16.gguf" -llama_name="ggml-model-q4_k.gguf" -img_dir="/Users/cxt/model/llm" -img_name="demo.jpg" -prompt="A chat between a curious user and an artificial intelligence assistant. The assistant gives helpful, detailed, and polite answers to the user's questions. USER: \nWho is the author of this book? \nAnswer the question using a single word or phrase. ASSISTANT:" -# img_name="cat.jpeg" -# prompt="A chat between a curious user and an artificial intelligence assistant. The assistant gives helpful, detailed, and polite answers to the user's questions. USER: \nWhat is in the image? ASSISTANT:" - -program_dir="build_64/bin" -binName="llama-llava-cli" -n_threads=4 - - -deviceDir="/data/local/tmp" -saveDir="output" -if [ ! -d ${saveDir} ]; then - mkdir ${saveDir} -fi - - -function android_run() { - # # copy resource into device - # adb push ${model_dir}/${projector_name} ${deviceDir}/${projector_name} - # adb push ${model_dir}/${llama_name} ${deviceDir}/${llama_name} - adb push ${img_dir}/${img_name} ${deviceDir}/${img_name} - # copy program into device - adb push ${program_dir}/${binName} ${deviceDir}/${binName} - adb shell "chmod 0777 ${deviceDir}/${binName}" - - # run - adb shell "echo cd ${deviceDir} ${deviceDir}/${binName} \ - -m ${deviceDir}/${llama_name} \ - --mmproj ${deviceDir}/${projector_name} \ - -t ${n_threads} \ - --image ${deviceDir}/${img_name} \ - -p \"${prompt}\" \ - > ${deviceDir}/${modelName}_${projector_name}_${n_threads}_${img_name}.txt" - adb shell "cd ${deviceDir}; pwd; ${deviceDir}/${binName} \ - -m ${deviceDir}/${llama_name} \ - --mmproj ${deviceDir}/${projector_name} \ - -t ${n_threads} \ - --image ${deviceDir}/${img_name} \ - -p \"${prompt}\" \ - >> ${deviceDir}/${modelName}_${projector_name}_${n_threads}_${img_name}.txt 2>&1" - adb pull ${deviceDir}/${modelName}_${projector_name}_${n_threads}_${img_name}.txt ${saveDir} -} - -android_run - -echo "android_run is Done!" diff --git a/examples/llava/android/build_64.sh b/examples/llava/android/build_64.sh deleted file mode 100755 index 71b6fd3f7..000000000 --- a/examples/llava/android/build_64.sh +++ /dev/null @@ -1,8 +0,0 @@ -#!/bin/bash -cmake ../../../../ \ --DCMAKE_TOOLCHAIN_FILE=$ANDROID_NDK/build/cmake/android.toolchain.cmake \ --DCMAKE_BUILD_TYPE=Release \ --DANDROID_ABI="arm64-v8a" \ --DANDROID_PLATFORM=android-23 $1 - -make -j4 diff --git a/examples/llava/clip-quantize-cli.cpp b/examples/llava/clip-quantize-cli.cpp new file mode 100644 index 000000000..566506954 --- /dev/null +++ b/examples/llava/clip-quantize-cli.cpp @@ -0,0 +1,59 @@ +#include "arg.h" +#include "base64.hpp" +#include "log.h" +#include "common.h" +#include "sampling.h" +#include "clip.h" +#include "llava.h" +#include "llama.h" +#include "ggml.h" + +static void print_usage(int argc, char ** argv) { + (void) argc; + + fprintf(stderr, "usage: %s /path/to/ggml-model-f32.gguf /path/to/ggml-model-quantized.gguf type\n", argv[0]); + fprintf(stderr, " type = 2 - q4_0\n"); + fprintf(stderr, " type = 3 - q4_1\n"); + fprintf(stderr, " type = 6 - q5_0\n"); + fprintf(stderr, " type = 7 - q5_1\n"); + fprintf(stderr, " type = 8 - q8_0\n"); +} + +int main(int argc, char ** argv) { + if (argc != 4) { + print_usage(argc, argv); + return 1; + } + + const std::string fname_inp = argv[1]; + const std::string fname_out = argv[2]; + + const int itype = atoi(argv[3]); + + const int64_t t_main_start_us = ggml_time_us(); + + int64_t t_quantize_us = 0; + + // load the model + { + const int64_t t_start_us = ggml_time_us(); + + if (!clip_model_quantize(fname_inp.c_str(), fname_out.c_str(), itype)) { + fprintf(stderr, "%s: failed to quantize model from '%s'\n", __func__, fname_inp.c_str()); + return 1; + } + + t_quantize_us = ggml_time_us() - t_start_us; + } + + // report timing + { + const int64_t t_main_end_us = ggml_time_us(); + + printf("\n"); + printf("%s: quantize time = %8.2f ms\n", __func__, t_quantize_us / 1000.0f); + printf("%s: total time = %8.2f ms\n", __func__, (t_main_end_us - t_main_start_us) / 1000.0f); + } + + return 0; +} diff --git a/examples/llava/clip.cpp b/examples/llava/clip.cpp index ce50728ae..769bac17d 100644 --- a/examples/llava/clip.cpp +++ b/examples/llava/clip.cpp @@ -105,6 +105,7 @@ static std::string format(const char * fmt, ...) { #define KEY_HAS_VIS_ENC "clip.has_vision_encoder" #define KEY_HAS_LLAVA_PROJ "clip.has_llava_projector" #define KEY_HAS_MINICPMV_PROJ "clip.has_minicpmv_projector" +#define KEY_HAS_GLM_PROJ "clip.has_glm_projector" #define KEY_MINICPMV_VERSION "clip.minicpmv_version" #define KEY_HAS_QWEN2VL_MERGER "clip.has_qwen2vl_merger" #define KEY_USE_GELU "clip.use_gelu" @@ -163,6 +164,15 @@ static std::string format(const char * fmt, ...) { #define TN_MINICPMV_ATTN "resampler.attn.%s.%s" #define TN_MINICPMV_LN "resampler.ln_%s.%s" +#define TN_GLM_ADAPER_CONV "adapter.conv.%s" +#define TN_GLM_ADAPTER_LINEAR "adapter.linear.linear.%s" +#define TN_GLM_ADAPTER_NORM_1 "adapter.linear.norm1.%s" +#define TN_GLM_ADAPTER_D_H_2_4H "adapter.linear.dense_h_to_4h.%s" +#define TN_GLM_ADAPTER_GATE "adapter.linear.gate.%s" +#define TN_GLM_ADAPTER_D_4H_2_H "adapter.linear.dense_4h_to_h.%s" +#define TN_GLM_BOI_W "adapter.boi" +#define TN_GLM_EOI_W "adapter.eoi" + enum projector_type { PROJECTOR_TYPE_MLP, @@ -170,6 +180,7 @@ enum projector_type { PROJECTOR_TYPE_LDP, PROJECTOR_TYPE_LDPV2, PROJECTOR_TYPE_RESAMPLER, + PROJECTOR_TYPE_GLM_EDGE, PROJECTOR_TYPE_MERGER, PROJECTOR_TYPE_UNKNOWN, }; @@ -179,6 +190,7 @@ static std::map PROJECTOR_TYPE_NAMES = { { PROJECTOR_TYPE_LDP, "ldp" }, { PROJECTOR_TYPE_LDPV2, "ldpv2"}, { PROJECTOR_TYPE_RESAMPLER, "resampler"}, + { PROJECTOR_TYPE_GLM_EDGE, "adapter"}, { PROJECTOR_TYPE_MERGER, "qwen2vl_merger"}, }; @@ -503,6 +515,12 @@ struct clip_vision_model { struct ggml_tensor * mm_4_w = NULL; struct ggml_tensor * mm_4_b = NULL; + //GLMV-Edge projection + struct ggml_tensor * mm_model_adapter_conv_w; + struct ggml_tensor * mm_model_adapter_conv_b; + struct ggml_tensor * boi_w; + struct ggml_tensor * eoi_w; + // MobileVLM projection struct ggml_tensor * mm_model_mlp_1_w; struct ggml_tensor * mm_model_mlp_1_b; @@ -563,6 +581,7 @@ struct clip_ctx { bool has_vision_encoder = false; bool has_llava_projector = false; bool has_minicpmv_projector = false; + bool has_glm_projector = false; bool has_qwen2vl_merger = false; int minicpmv_version = 2; @@ -641,7 +660,7 @@ static ggml_cgraph * clip_image_build_graph(clip_ctx * ctx, const clip_image_f32 const int batch_size = imgs->size; - if (ctx->has_llava_projector || ctx->has_minicpmv_projector) { + if (ctx->has_llava_projector || ctx->has_minicpmv_projector || ctx->has_glm_projector) { GGML_ASSERT(batch_size == 1); } @@ -737,8 +756,7 @@ static ggml_cgraph * clip_image_build_graph(clip_ctx * ctx, const clip_image_f32 } // loop over layers - if (ctx->has_minicpmv_projector || ctx->has_qwen2vl_merger) { - // TODO: figure out why we doing thing in this way ??? + if (ctx->has_minicpmv_projector || ctx->has_glm_projector || ctx->has_qwen2vl_merger) { n_layer += 1; } for (int il = 0; il < n_layer - 1; il++) { @@ -1098,7 +1116,33 @@ static ggml_cgraph * clip_image_build_graph(clip_ctx * ctx, const clip_image_f32 GGML_ASSERT(false); } } - else if (ctx->proj_type == PROJECTOR_TYPE_MERGER) { + // glm projector + else if (ctx->has_glm_projector) { + if (ctx->proj_type == PROJECTOR_TYPE_GLM_EDGE) { + size_t gridsz = (size_t)sqrt(embeddings->ne[1]); + embeddings = ggml_cont(ctx0, ggml_permute(ctx0,embeddings,1,0,2,3)); + embeddings = ggml_reshape_3d(ctx0, embeddings, gridsz, gridsz, embeddings->ne[1]); + embeddings = ggml_conv_2d(ctx0, model.mm_model_adapter_conv_w, embeddings, 2, 2, 0, 0, 1, 1); + embeddings = ggml_reshape_3d(ctx0, embeddings,embeddings->ne[0]*embeddings->ne[1] , embeddings->ne[2], batch_size); + embeddings = ggml_cont(ctx0, ggml_permute(ctx0,embeddings, 1, 0, 2, 3)); + embeddings = ggml_add(ctx0, embeddings, model.mm_model_adapter_conv_b); + //GLU + { + embeddings = ggml_mul_mat(ctx0, model.mm_model_mlp_0_w, embeddings); + embeddings = ggml_norm(ctx0, embeddings, eps); + embeddings = ggml_add(ctx0, ggml_mul(ctx0, embeddings, model.mm_model_ln_q_w), model.mm_model_ln_q_b); + embeddings = ggml_gelu_inplace(ctx0, embeddings); + struct ggml_tensor * x = embeddings; + embeddings = ggml_mul_mat(ctx0, model.mm_model_mlp_2_w, embeddings); + x = ggml_mul_mat(ctx0, model.mm_model_mlp_1_w,x); + embeddings = ggml_silu_inplace(ctx0, embeddings); + embeddings = ggml_mul(ctx0, embeddings,x); + embeddings = ggml_mul_mat(ctx0, model.mm_model_mlp_3_w, embeddings); + } + } else { + GGML_ABORT("fatel error"); + } + } else if (ctx->proj_type == PROJECTOR_TYPE_MERGER) { embeddings = ggml_reshape_3d(ctx0, embeddings, hidden_size * 4, num_positions / 4, batch_size); embeddings = ggml_mul_mat(ctx0, model.mm_0_w, embeddings); @@ -1296,6 +1340,11 @@ if(enable_gpu_clip) new_clip->minicpmv_version = gguf_get_val_i32(ctx, idx); } + idx = gguf_find_key(ctx, KEY_HAS_GLM_PROJ); + if (idx != -1) { + new_clip->has_glm_projector = gguf_get_val_bool(ctx, idx); + } + idx = gguf_find_key(ctx, KEY_HAS_QWEN2VL_MERGER); if (idx != -1) { new_clip->has_qwen2vl_merger = gguf_get_val_bool(ctx, idx); @@ -1320,6 +1369,7 @@ if(enable_gpu_clip) LOG_INF("%s: vision_encoder: %d\n", __func__, new_clip->has_vision_encoder); LOG_INF("%s: llava_projector: %d\n", __func__, new_clip->has_llava_projector); LOG_INF("%s: minicpmv_projector: %d\n", __func__, new_clip->has_minicpmv_projector); + LOG_INF("%s: glm_projector: %d\n", __func__, new_clip->has_glm_projector); LOG_INF("%s: model size: %.2f MB\n", __func__, model_size / 1024.0 / 1024.0); LOG_INF("%s: metadata size: %.2f MB\n", __func__, ggml_get_mem_size(meta) / 1024.0 / 1024.0); } @@ -1587,6 +1637,18 @@ if(enable_gpu_clip) vision_model.mm_model_ln_post_w = get_tensor(new_clip->ctx_data, format(TN_MINICPMV_LN, "post", "weight")); vision_model.mm_model_ln_post_b = get_tensor(new_clip->ctx_data, format(TN_MINICPMV_LN, "post", "bias")); } + else if (new_clip->proj_type == PROJECTOR_TYPE_GLM_EDGE) { + vision_model.mm_model_adapter_conv_w = get_tensor(new_clip->ctx_data, format(TN_GLM_ADAPER_CONV, "weight")); + vision_model.mm_model_adapter_conv_b = get_tensor(new_clip->ctx_data, format(TN_GLM_ADAPER_CONV, "bias")); + vision_model.mm_model_mlp_0_w = get_tensor(new_clip->ctx_data, format(TN_GLM_ADAPTER_LINEAR,"weight")); + vision_model.mm_model_ln_q_w = get_tensor(new_clip->ctx_data, format(TN_GLM_ADAPTER_NORM_1,"weight")); + vision_model.mm_model_ln_q_b = get_tensor(new_clip->ctx_data, format(TN_GLM_ADAPTER_NORM_1,"bias")); + vision_model.mm_model_mlp_1_w = get_tensor(new_clip->ctx_data, format(TN_GLM_ADAPTER_D_H_2_4H,"weight")); + vision_model.mm_model_mlp_2_w = get_tensor(new_clip->ctx_data, format(TN_GLM_ADAPTER_GATE,"weight")); + vision_model.mm_model_mlp_3_w = get_tensor(new_clip->ctx_data, format(TN_GLM_ADAPTER_D_4H_2_H,"weight")); + vision_model.boi_w = get_tensor(new_clip->ctx_data, TN_GLM_BOI_W); + vision_model.eoi_w = get_tensor(new_clip->ctx_data, TN_GLM_EOI_W); + } else if (new_clip->proj_type == PROJECTOR_TYPE_MERGER) { vision_model.mm_0_w = get_tensor(new_clip->ctx_data, format(TN_LLAVA_PROJ, 0, "weight")); vision_model.mm_0_b = get_tensor(new_clip->ctx_data, format(TN_LLAVA_PROJ, 0, "bias")); @@ -2214,6 +2276,20 @@ bool clip_image_preprocess(struct clip_ctx * ctx, const clip_image_u8 * img, cli return true; } + if (ctx->has_glm_projector) { + res_imgs->size = 1; + res_imgs->data = new clip_image_f32[res_imgs->size]; + clip_image_u8 resized_image; + int32_t sz=ctx->vision_model.hparams.image_size; + bicubic_resize(*img, resized_image,sz,sz); + clip_image_f32 * res = clip_image_f32_init(); + //clip_image_save_to_bmp(resized_image, "resized.bmp"); + normalize_image_u8_to_f32(&resized_image, res, ctx->image_mean, ctx->image_std); + res_imgs->data[0] = *res; + clip_image_f32_free(res); + return true; + } + bool pad_to_square = true; if (!ctx->has_vision_encoder) { LOG_ERR("This gguf file seems to have no vision encoder\n"); @@ -2399,7 +2475,8 @@ void clip_free(clip_ctx * ctx) { } size_t clip_embd_nbytes(const struct clip_ctx * ctx) { - return clip_n_patches(ctx) * clip_n_mmproj_embd(ctx) * sizeof(float); + int extra_tokens = ctx->has_glm_projector ? 2 : 0; + return (clip_n_patches(ctx) + extra_tokens) * clip_n_mmproj_embd(ctx) * sizeof(float); } size_t clip_embd_nbytes_by_img(const struct clip_ctx * ctx, int img_h, int img_w) { @@ -2441,7 +2518,7 @@ int clip_n_patches_by_img(const struct clip_ctx * ctx, struct clip_image_f32 * i int n_patches = (params.image_size / params.patch_size) * (params.image_size / params.patch_size); - if (ctx->proj_type == PROJECTOR_TYPE_LDP || ctx->proj_type == PROJECTOR_TYPE_LDPV2) { + if (ctx->proj_type == PROJECTOR_TYPE_LDP || ctx->proj_type == PROJECTOR_TYPE_LDPV2 || ctx->proj_type == PROJECTOR_TYPE_GLM_EDGE) { n_patches /= 4; } else if (ctx->proj_type == PROJECTOR_TYPE_RESAMPLER) { if (ctx->minicpmv_version == 2) { @@ -2574,6 +2651,12 @@ bool clip_image_batch_encode(clip_ctx * ctx, const int n_threads, const clip_ima if (ctx->has_minicpmv_projector) { GGML_ASSERT(batch_size == 1); } + if (ctx->has_glm_projector) { + GGML_ASSERT(batch_size == 1); + ggml_tensor * boi = ctx->vision_model.boi_w; + ggml_backend_tensor_get(boi,vec,0,ggml_nbytes(boi)); + vec = (float*)(vec+ggml_nelements(boi)); //offset for boi + } // build the inference graph ggml_cgraph * gf = clip_image_build_graph(ctx, imgs, ctx->load_image_size, true); @@ -2726,7 +2809,7 @@ bool clip_image_batch_encode(clip_ctx * ctx, const int n_threads, const clip_ima ggml_backend_tensor_set(positions, positions_data, 0, ggml_nbytes(positions)); free(positions_data); - { + if (!ctx->has_glm_projector) { struct ggml_tensor * patches = ggml_graph_get_tensor(gf, "patches"); int* patches_data = (int*)malloc(ggml_nbytes(patches)); for (int i = 0; i < num_patches; i++) { @@ -2750,15 +2833,20 @@ bool clip_image_batch_encode(clip_ctx * ctx, const int n_threads, const clip_ima // copy the embeddings to the location passed by the user ggml_backend_tensor_get(embeddings, vec, 0, ggml_nbytes(embeddings)); + if (ctx->has_glm_projector) { + //eoi + ggml_tensor * eoi = ctx->vision_model.eoi_w; + int offset = ggml_nelements(embeddings); + ggml_backend_tensor_get(eoi, vec+offset, 0, ggml_nbytes(eoi)); + } + return true; } static bool avoid_problematic_indivisible = true; bool clip_model_quantize(const char * fname_inp, const char * fname_out, const int itype) { - ggml_type type = GGML_TYPE_Q4_1; - assert(itype < GGML_TYPE_COUNT); - type = static_cast(itype); + ggml_type type = static_cast(itype); auto * ctx_clip = clip_model_load(fname_inp, 2); @@ -2811,8 +2899,8 @@ bool clip_model_quantize(const char * fname_inp, const char * fname_out, const i } } - // quantize only 2D tensors - quantize &= (ggml_n_dims(cur) == 2); + // quantize only 2D tensors and bigger than block size + quantize &= (ggml_n_dims(cur) == 2) && cur->ne[0] > ggml_blck_size(type); //kcpp fix: do not quantize certain tensors if they are indivisible! if(avoid_problematic_indivisible) @@ -2921,6 +3009,9 @@ int clip_n_mmproj_embd(const struct clip_ctx * ctx) { return 3584; } } + if (ctx->proj_type == PROJECTOR_TYPE_GLM_EDGE){ + return ctx->vision_model.mm_model_mlp_3_w->ne[1]; + } if (ctx->proj_type == PROJECTOR_TYPE_MERGER) { return ctx->vision_model.mm_1_b->ne[0]; } @@ -2936,6 +3027,9 @@ int clip_is_minicpmv(const struct clip_ctx * ctx) { return 0; } +bool clip_is_glm(const struct clip_ctx * ctx) { + return ctx->has_glm_projector; +} bool clip_is_qwen2vl(const struct clip_ctx * ctx) { return ctx->has_qwen2vl_merger; } diff --git a/examples/llava/clip.h b/examples/llava/clip.h index 2568bbff0..d6f865dde 100644 --- a/examples/llava/clip.h +++ b/examples/llava/clip.h @@ -93,7 +93,10 @@ CLIP_API bool clip_is_qwen2vl(const struct clip_ctx * ctx); CLIP_API bool clip_encode_float_image (struct clip_ctx * ctx, int n_threads, float * img, int h, int w, float * vec); +CLIP_API bool clip_is_glm(const struct clip_ctx * ctx); + CLIP_API void set_clip_uses_gpu(bool usegpu); + #ifdef __cplusplus } #endif diff --git a/examples/llava/glmedge-convert-image-encoder-to-gguf.py b/examples/llava/glmedge-convert-image-encoder-to-gguf.py new file mode 100644 index 000000000..848ef1cf3 --- /dev/null +++ b/examples/llava/glmedge-convert-image-encoder-to-gguf.py @@ -0,0 +1,280 @@ +import argparse +import os +import json +import re + +import torch +import numpy as np +from gguf import * + +TEXT = "clip.text" +VISION = "clip.vision" +from transformers import SiglipVisionModel, SiglipVisionConfig + +def k(raw_key: str, arch: str) -> str: + return raw_key.format(arch=arch) + + +def should_skip_tensor(name: str, has_text: bool, has_vision: bool, has_llava: bool) -> bool: + if name in ( + "logit_scale", + "text_model.embeddings.position_ids", + "vision_model.embeddings.position_ids", + ): + return True + + if name in ( + "vision_model.head.probe", + "vision_model.head.attention.in_proj_weight", + "vision_model.head.attention.in_proj_bias", + "vision_model.head.attention.out_proj.weight", + "vision_model.head.attention.out_proj.bias", + "vision_model.head.layernorm.weight", + "vision_model.head.layernorm.bias", + "vision_model.head.mlp.fc1.weight", + "vision_model.head.mlp.fc1.bias", + "vision_model.head.mlp.fc2.weight", + "vision_model.head.mlp.fc2.bias" + ): + return True + + if name.startswith("v") and not has_vision: + return True + + if name.startswith("t") and not has_text: + return True + + return False + + +def get_tensor_name(name: str) -> str: + if "projection" in name: + return name + if "mm_projector" in name: + name = name.replace("model.mm_projector", "mm") + name = re.sub(r'mm\.mlp\.mlp', 'mm.model.mlp', name, count=1) + name = re.sub(r'mm\.peg\.peg', 'mm.model.peg', name, count=1) + return name + + return name.replace("text_model", "t").replace("vision_model", "v").replace("encoder.layers", "blk").replace("embeddings.", "").replace("_proj", "").replace("self_attn.", "attn_").replace("layer_norm", "ln").replace("layernorm", "ln").replace("mlp.fc1", "ffn_down").replace("mlp.fc2", "ffn_up").replace("embedding", "embd").replace("final", "post").replace("layrnorm", "ln") + + +def bytes_to_unicode(): + """ + Returns list of utf-8 byte and a corresponding list of unicode strings. + The reversible bpe codes work on unicode strings. + This means you need a large # of unicode characters in your vocab if you want to avoid UNKs. + When you're at something like a 10B token dataset you end up needing around 5K for decent coverage. + This is a significant percentage of your normal, say, 32K bpe vocab. + To avoid that, we want lookup tables between utf-8 bytes and unicode strings. + And avoids mapping to whitespace/control characters the bpe code barfs on. + """ + bs = ( + list(range(ord("!"), ord("~") + 1)) + + list(range(ord("¡"), ord("¬") + 1)) + + list(range(ord("®"), ord("ÿ") + 1)) + ) + cs = bs[:] + n = 0 + for b in range(2**8): + if b not in bs: + bs.append(b) + cs.append(2**8 + n) + n += 1 + cs = [chr(n) for n in cs] + return dict(zip(bs, cs)) + + +ap = argparse.ArgumentParser() +ap.add_argument("-m", "--model-dir", help="Path to model directory cloned from HF Hub", required=True) +ap.add_argument("--use-f32", action="store_true", default=False, help="Use f32 instead of f16") +ap.add_argument("--text-only", action="store_true", required=False, + help="Save a text-only model. It can't be used to encode images") +ap.add_argument("--vision-only", action="store_true", required=False, + help="Save a vision-only model. It can't be used to encode texts") +ap.add_argument("--clip-model-is-vision", action="store_true", required=False, + help="The clip model is a pure vision model (ShareGPT4V vision extract for example)") +ap.add_argument("--clip-model-is-openclip", action="store_true", required=False, + help="The clip model is from openclip (for ViT-SO400M type))") +ap.add_argument("--llava-projector", help="Path to llava.projector file. If specified, save an image encoder for LLaVA models.") +ap.add_argument("--projector-type", help="Type of projector. Possible values: mlp, ldp, ldpv2", choices=["mlp", "ldp", "ldpv2","adapter"], default="adapter") +ap.add_argument("-o", "--output-dir", help="Directory to save GGUF files. Default is the original model directory", default=None) +# Example --image_mean 0.48145466 0.4578275 0.40821073 --image_std 0.26862954 0.26130258 0.27577711 +# Example --image_mean 0.5 0.5 0.5 --image_std 0.5 0.5 0.5 +default_image_mean = [0.5, 0.5, 0.5] +default_image_std = [0.5, 0.5, 0.5] +ap.add_argument('--image-mean', type=float, nargs='+', help='Mean of the images for normalization (overrides processor) ', default=None) +ap.add_argument('--image-std', type=float, nargs='+', help='Standard deviation of the images for normalization (overrides processor)', default=None) + +# with proper +args = ap.parse_args() + + +if args.text_only and args.vision_only: + print("--text-only and --image-only arguments cannot be specified at the same time.") + exit(1) + +if args.use_f32: + print("WARNING: Weights for the convolution op is always saved in f16, as the convolution op in GGML does not support 32-bit kernel weights yet.") + +# output in the same directory as the model if output_dir is None +dir_model = args.model_dir + +if args.clip_model_is_vision or not os.path.exists(dir_model + "/vocab.json") or args.clip_model_is_openclip: + vocab = None + tokens = None +else: + with open(dir_model + "/vocab.json", "r", encoding="utf-8") as f: + vocab = json.load(f) + tokens = [key for key in vocab] + +with open(dir_model + "/config.json", "r", encoding="utf-8") as f: + config = json.load(f) + if args.clip_model_is_vision: + v_hparams = config + t_hparams = None + else: + v_hparams = config["vision_config"] + t_hparams = None + +# possible data types +# ftype == 0 -> float32 +# ftype == 1 -> float16 +# +# map from ftype to string +ftype_str = ["f32", "f16"] + +ftype = 1 +if args.use_f32: + ftype = 0 + +vision_config = SiglipVisionConfig(**v_hparams) +model = SiglipVisionModel(vision_config) +model.load_state_dict(torch.load(os.path.join(dir_model, "glm.clip"))) + +fname_middle = None +has_text_encoder = False +has_vision_encoder = True +has_glm_projector = True +if args.text_only: + fname_middle = "text-" + has_vision_encoder = False +elif args.llava_projector is not None: + fname_middle = "mmproj-" + has_text_encoder = False + has_glm_projector = True +elif args.vision_only: + fname_middle = "vision-" + has_text_encoder = False +else: + fname_middle = "" + +output_dir = args.output_dir if args.output_dir is not None else dir_model +os.makedirs(output_dir, exist_ok=True) +output_prefix = os.path.basename(output_dir).replace("ggml_", "") +fname_out = os.path.join(output_dir, f"{fname_middle}model-{ftype_str[ftype]}.gguf") +fout = GGUFWriter(path=fname_out, arch="clip") + +fout.add_bool("clip.has_text_encoder", has_text_encoder) +fout.add_bool("clip.has_vision_encoder", has_vision_encoder) +fout.add_bool("clip.has_glm_projector", has_glm_projector) +fout.add_file_type(ftype) +model_name = config["_name_or_path"] if "_name_or_path" in config else os.path.basename(dir_model) +fout.add_name(model_name) +if has_glm_projector: + fout.add_description("image encoder for glm4v") + fout.add_string("clip.projector_type", "adapter") +else: + fout.add_description("two-tower CLIP model") + +if has_text_encoder: + assert t_hparams is not None + assert tokens is not None + # text_model hparams + fout.add_uint32(k(KEY_CONTEXT_LENGTH, TEXT), t_hparams["max_position_embeddings"]) + fout.add_uint32(k(KEY_EMBEDDING_LENGTH, TEXT), t_hparams["hidden_size"]) + fout.add_uint32(k(KEY_FEED_FORWARD_LENGTH, TEXT), t_hparams["intermediate_size"]) + fout.add_uint32("clip.text.projection_dim", t_hparams.get("projection_dim", config["projection_dim"])) + fout.add_uint32(k(KEY_ATTENTION_HEAD_COUNT, TEXT), t_hparams["num_attention_heads"]) + fout.add_float32(k(KEY_ATTENTION_LAYERNORM_EPS, TEXT), t_hparams["layer_norm_eps"]) + fout.add_uint32(k(KEY_BLOCK_COUNT, TEXT), t_hparams["num_hidden_layers"]) + fout.add_token_list(tokens) + +if has_vision_encoder: + # vision_model hparams + fout.add_uint32("clip.vision.image_size", v_hparams["image_size"]) + fout.add_uint32("clip.vision.patch_size", v_hparams["patch_size"]) + fout.add_uint32(k(KEY_EMBEDDING_LENGTH, VISION), v_hparams["hidden_size"]) + fout.add_uint32(k(KEY_FEED_FORWARD_LENGTH, VISION), v_hparams["intermediate_size"]) + fout.add_uint32("clip.vision.projection_dim", 0) + fout.add_uint32(k(KEY_ATTENTION_HEAD_COUNT, VISION), v_hparams["num_attention_heads"]) + fout.add_float32(k(KEY_ATTENTION_LAYERNORM_EPS, VISION), 1e-6) + fout.add_uint32(k(KEY_BLOCK_COUNT, VISION), v_hparams["num_hidden_layers"]) + + image_mean = args.image_mean if args.image_mean is not None else default_image_mean + image_std = args.image_std if args.image_std is not None else default_image_std + fout.add_array("clip.vision.image_mean", image_mean) + fout.add_array("clip.vision.image_std", image_std) + +fout.add_bool("clip.use_gelu", True) + + +if has_glm_projector: + # model.vision_model.encoder.layers.pop(-1) # pyright: ignore[reportAttributeAccessIssue] + projector = torch.load(args.llava_projector) + for name, data in projector.items(): + name = get_tensor_name(name) + # pw and dw conv ndim==4 + if data.ndim == 2 or data.ndim == 4: + data = data.squeeze().numpy().astype(np.float16) + else: + data = data.squeeze().numpy().astype(np.float32) + if name.startswith("vision."): + name=name.replace("vision.","") + fout.add_tensor(name, data) + print(f"Projector {name} - {data.dtype} - shape = {data.shape}") + # print(f"Projector {name} tensors added\n") + +state_dict = model.state_dict() # pyright: ignore[reportAttributeAccessIssue] +for name, data in state_dict.items(): + if should_skip_tensor(name, has_text_encoder, has_vision_encoder, has_glm_projector): + # we don't need this + print(f"skipping parameter: {name}") + continue + + name = get_tensor_name(name) + data = data.squeeze().numpy() + + n_dims = len(data.shape) + + # ftype == 0 -> float32, ftype == 1 -> float16 + ftype_cur = 0 + if n_dims == 4: + print(f"tensor {name} is always saved in f16") + data = data.astype(np.float16) + ftype_cur = 1 + elif ftype == 1: + if name[-7:] == ".weight" and n_dims == 2: + # print(" Converting to float16") + data = data.astype(np.float16) + ftype_cur = 1 + else: + # print(" Converting to float32") + data = data.astype(np.float32) + ftype_cur = 0 + else: + if data.dtype != np.float32: + # print(" Converting to float32") + data = data.astype(np.float32) + ftype_cur = 0 + print(f"siglip {name} - {data.dtype} - shape = {data.shape}") + # print(f"{name} - {ftype_str[ftype_cur]} - shape = {data.shape}") + fout.add_tensor(name, data) + + +fout.write_header_to_file() +fout.write_kv_data_to_file() +fout.write_tensors_to_file() +fout.close() + +print("Done. Output file: " + fname_out) diff --git a/examples/llava/glmedge-surgery.py b/examples/llava/glmedge-surgery.py new file mode 100644 index 000000000..16bb915d0 --- /dev/null +++ b/examples/llava/glmedge-surgery.py @@ -0,0 +1,33 @@ +import argparse +import os +import torch +from transformers import AutoModel + +ap = argparse.ArgumentParser() +ap.add_argument("-m", "--model", help="Path to GLM model") +args = ap.parse_args() + +# find the model part that includes the the multimodal projector weights +model = AutoModel.from_pretrained(args.model, trust_remote_code=True, local_files_only=True) +checkpoint = model.state_dict() + +# get a list of mm tensor names +mm_tensors = [k for k, v in checkpoint.items() if k.startswith("vision.adapter.")] + +# store these tensors in a new dictionary and torch.save them +projector = {name: checkpoint[name].float() for name in mm_tensors} +torch.save(projector, f"{args.model}/glm.projector") + +clip_tensors = [k for k, v in checkpoint.items() if k.startswith("vision.vit.model.vision_model.")] +if len(clip_tensors) > 0: + clip = {name.replace("vision.vit.model.", ""): checkpoint[name].float() for name in clip_tensors} + torch.save(clip, f"{args.model}/glm.clip") + + # added tokens should be removed to be able to convert Mistral models + if os.path.exists(f"{args.model}/added_tokens.json"): + with open(f"{args.model}/added_tokens.json", "w") as f: + f.write("{}\n") + +print("Done!") +print(f"Now you can convert {args.model} to a regular LLaMA GGUF file.") +print(f"Also, use {args.model}glm.projector to prepare a glm-encoder.gguf file.") diff --git a/examples/llava/llava.cpp b/examples/llava/llava.cpp index 7a0be3c20..ae7b36d1c 100644 --- a/examples/llava/llava.cpp +++ b/examples/llava/llava.cpp @@ -311,6 +311,20 @@ static bool encode_image_with_clip(clip_ctx * ctx_clip, int n_threads, const cli img_res_v.size = 0; img_res_v.data = nullptr; } + else if (clip_is_glm(ctx_clip)){ + struct clip_image_size * load_image_size = clip_image_size_init(); + load_image_size->width = img_res_v.data[0].nx; + load_image_size->height = img_res_v.data[0].ny; + clip_add_load_image_size(ctx_clip, load_image_size); + + bool encoded = clip_image_encode(ctx_clip, n_threads, &img_res_v.data[0], image_embd); + int pos = int(load_image_size->width/clip_patch_size(ctx_clip)/2); + *n_img_pos = (pos * pos + 2); + if (!encoded){ + LOG_ERR("Unable to encode image \n"); + return false; + } + } else if (strcmp(mm_patch_merge_type, "spatial_unpad") != 0) { // flat / default llava-1.5 type embedding *n_img_pos = clip_n_patches(ctx_clip); @@ -395,6 +409,9 @@ bool llava_image_embed_make_with_clip_img(clip_ctx * ctx_clip, int n_threads, co if (clip_is_minicpmv(ctx_clip)) { num_max_patches = 10; } + if (clip_is_glm(ctx_clip)) { + num_max_patches = 1; + } float * image_embd; if (clip_is_qwen2vl(ctx_clip)) { // qwen2vl don't split image into chunks, so `num_max_patches` is not needed. diff --git a/examples/run/linenoise.cpp/LICENSE b/examples/run/linenoise.cpp/LICENSE deleted file mode 100644 index b006b3b24..000000000 --- a/examples/run/linenoise.cpp/LICENSE +++ /dev/null @@ -1,26 +0,0 @@ -Copyright (c) 2010-2014, Salvatore Sanfilippo -Copyright (c) 2010-2013, Pieter Noordhuis -Copyright (c) 2025, Eric Curtin - -All rights reserved. - -Redistribution and use in source and binary forms, with or without -modification, are permitted provided that the following conditions are met: - -* Redistributions of source code must retain the above copyright notice, - this list of conditions and the following disclaimer. - -* Redistributions in binary form must reproduce the above copyright notice, - this list of conditions and the following disclaimer in the documentation - and/or other materials provided with the distribution. - -THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" AND -ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED -WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE -DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT OWNER OR CONTRIBUTORS BE LIABLE FOR -ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES -(INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; -LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON -ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT -(INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS -SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. diff --git a/examples/run/linenoise.cpp/linenoise.cpp b/examples/run/linenoise.cpp/linenoise.cpp deleted file mode 100644 index a68f12a1a..000000000 --- a/examples/run/linenoise.cpp/linenoise.cpp +++ /dev/null @@ -1,1350 +0,0 @@ -#ifndef _WIN32 -/* - * You can find the latest source code at: - * - * http://github.com/ericcurtin/linenoise.cpp - * - * Does a number of crazy assumptions that happen to be true in 99.9999% of - * the 2010 UNIX computers around. - * - * ------------------------------------------------------------------------ - * - * Copyright (c) 2010-2023, Salvatore Sanfilippo - * Copyright (c) 2010-2013, Pieter Noordhuis - * Copyright (c) 2025, Eric Curtin - * - * All rights reserved. - * - * Redistribution and use in source and binary forms, with or without - * modification, are permitted provided that the following conditions are - * met: - * - * * Redistributions of source code must retain the above copyright - * notice, this list of conditions and the following disclaimer. - * - * * Redistributions in binary form must reproduce the above copyright - * notice, this list of conditions and the following disclaimer in the - * documentation and/or other materials provided with the distribution. - * - * THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS - * "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT - * LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR - * A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT - * HOLDER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, - * SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT - * LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, - * DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY - * THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT - * (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE - * OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. - * - * ------------------------------------------------------------------------ - * - * References: - * - http://invisible-island.net/xterm/ctlseqs/ctlseqs.html - * - http://www.3waylabs.com/nw/WWW/products/wizcon/vt220.html - * - * Todo list: - * - Filter bogus Ctrl+ combinations. - * - Win32 support - * - * Bloat: - * - History search like Ctrl+r in readline? - * - * List of escape sequences used by this program, we do everything just - * with three sequences. In order to be so cheap we may have some - * flickering effect with some slow terminal, but the lesser sequences - * the more compatible. - * - * EL (Erase Line) - * Sequence: ESC [ n K - * Effect: if n is 0 or missing, clear from cursor to end of line - * Effect: if n is 1, clear from beginning of line to cursor - * Effect: if n is 2, clear entire line - * - * CUF (CUrsor Forward) - * Sequence: ESC [ n C - * Effect: moves cursor forward n chars - * - * CUB (CUrsor Backward) - * Sequence: ESC [ n D - * Effect: moves cursor backward n chars - * - * The following is used to get the terminal width if getting - * the width with the TIOCGWINSZ ioctl fails - * - * DSR (Device Status Report) - * Sequence: ESC [ 6 n - * Effect: reports the current cusor position as ESC [ n ; m R - * where n is the row and m is the column - * - * When multi line mode is enabled, we also use an additional escape - * sequence. However multi line editing is disabled by default. - * - * CUU (Cursor Up) - * Sequence: ESC [ n A - * Effect: moves cursor up of n chars. - * - * CUD (Cursor Down) - * Sequence: ESC [ n B - * Effect: moves cursor down of n chars. - * - * When linenoiseClearScreen() is called, two additional escape sequences - * are used in order to clear the screen and position the cursor at home - * position. - * - * CUP (Cursor position) - * Sequence: ESC [ H - * Effect: moves the cursor to upper left corner - * - * ED (Erase display) - * Sequence: ESC [ 2 J - * Effect: clear the whole screen - * - */ - -# include "linenoise.h" - -# include -# include -# include -# include -# include -# include -# include -# include -# include -# include - -# include -# include -# include - -# define LINENOISE_DEFAULT_HISTORY_MAX_LEN 100 -# define LINENOISE_MAX_LINE 4096 -static std::vector unsupported_term = { "dumb", "cons25", "emacs" }; -static linenoiseCompletionCallback *completionCallback = NULL; -static linenoiseHintsCallback *hintsCallback = NULL; -static linenoiseFreeHintsCallback *freeHintsCallback = NULL; -static char *linenoiseNoTTY(void); -static void refreshLineWithCompletion(struct linenoiseState *ls, linenoiseCompletions *lc, int flags); -static void refreshLineWithFlags(struct linenoiseState *l, int flags); - -static struct termios orig_termios; /* In order to restore at exit.*/ -static int maskmode = 0; /* Show "***" instead of input. For passwords. */ -static int rawmode = 0; /* For atexit() function to check if restore is needed*/ -static int mlmode = 0; /* Multi line mode. Default is single line. */ -static int atexit_registered = 0; /* Register atexit just 1 time. */ -static int history_max_len = LINENOISE_DEFAULT_HISTORY_MAX_LEN; -static int history_len = 0; -static char **history = NULL; - -enum KEY_ACTION{ - KEY_NULL = 0, /* NULL */ - CTRL_A = 1, /* Ctrl+a */ - CTRL_B = 2, /* Ctrl-b */ - CTRL_C = 3, /* Ctrl-c */ - CTRL_D = 4, /* Ctrl-d */ - CTRL_E = 5, /* Ctrl-e */ - CTRL_F = 6, /* Ctrl-f */ - CTRL_H = 8, /* Ctrl-h */ - TAB = 9, /* Tab */ - CTRL_K = 11, /* Ctrl+k */ - CTRL_L = 12, /* Ctrl+l */ - ENTER = 13, /* Enter */ - CTRL_N = 14, /* Ctrl-n */ - CTRL_P = 16, /* Ctrl-p */ - CTRL_T = 20, /* Ctrl-t */ - CTRL_U = 21, /* Ctrl+u */ - CTRL_W = 23, /* Ctrl+w */ - ESC = 27, /* Escape */ - BACKSPACE = 127 /* Backspace */ -}; - -static void linenoiseAtExit(void); -int linenoiseHistoryAdd(const char *line); -#define REFRESH_CLEAN (1<<0) // Clean the old prompt from the screen -#define REFRESH_WRITE (1<<1) // Rewrite the prompt on the screen. -#define REFRESH_ALL (REFRESH_CLEAN|REFRESH_WRITE) // Do both. -static void refreshLine(struct linenoiseState *l); - -class File { - public: - FILE * file = nullptr; - - FILE * open(const std::string & filename, const char * mode) { - file = fopen(filename.c_str(), mode); - - return file; - } - - int lock() { - if (file) { - fd = fileno(file); - if (flock(fd, LOCK_EX | LOCK_NB) != 0) { - fd = -1; - - return 1; - } - } - - return 0; - } - - ~File() { - if (fd >= 0) { - flock(fd, LOCK_UN); - } - - if (file) { - fclose(file); - } - } - - private: - int fd = -1; -}; - -__attribute__((format(printf, 1, 2))) -/* Debugging function. */ -#if 0 -static void lndebug(const char *fmt, ...) { - static File file; - if (file.file == nullptr) { - file.open("/tmp/lndebug.txt", "a"); - } - - if (file.file != nullptr) { - va_list args; - va_start(args, fmt); - vfprintf(file.file, fmt, args); - va_end(args); - fflush(file.file); - } -} -#else -static void lndebug(const char *, ...) { -} -#endif - -/* ======================= Low level terminal handling ====================== */ - -/* Enable "mask mode". When it is enabled, instead of the input that - * the user is typing, the terminal will just display a corresponding - * number of asterisks, like "****". This is useful for passwords and other - * secrets that should not be displayed. */ -void linenoiseMaskModeEnable(void) { - maskmode = 1; -} - -/* Disable mask mode. */ -void linenoiseMaskModeDisable(void) { - maskmode = 0; -} - -/* Set if to use or not the multi line mode. */ -void linenoiseSetMultiLine(int ml) { - mlmode = ml; -} - -/* Return true if the terminal name is in the list of terminals we know are - * not able to understand basic escape sequences. */ -static int isUnsupportedTerm(void) { - char *term = getenv("TERM"); - if (term == NULL) return 0; - for (size_t j = 0; j < unsupported_term.size(); ++j) { - if (!strcasecmp(term, unsupported_term[j])) { - return 1; - } - } - return 0; -} - -/* Raw mode: 1960 magic shit. */ -static int enableRawMode(int fd) { - struct termios raw; - - if (!isatty(STDIN_FILENO)) goto fatal; - if (!atexit_registered) { - atexit(linenoiseAtExit); - atexit_registered = 1; - } - if (tcgetattr(fd,&orig_termios) == -1) goto fatal; - - raw = orig_termios; /* modify the original mode */ - /* input modes: no break, no CR to NL, no parity check, no strip char, - * no start/stop output control. */ - raw.c_iflag &= ~(BRKINT | ICRNL | INPCK | ISTRIP | IXON); - /* output modes - disable post processing */ - raw.c_oflag &= ~(OPOST); - /* control modes - set 8 bit chars */ - raw.c_cflag |= (CS8); - /* local modes - choing off, canonical off, no extended functions, - * no signal chars (^Z,^C) */ - raw.c_lflag &= ~(ECHO | ICANON | IEXTEN | ISIG); - /* control chars - set return condition: min number of bytes and timer. - * We want read to return every single byte, without timeout. */ - raw.c_cc[VMIN] = 1; raw.c_cc[VTIME] = 0; /* 1 byte, no timer */ - - /* put terminal in raw mode after flushing */ - if (tcsetattr(fd,TCSAFLUSH,&raw) < 0) goto fatal; - rawmode = 1; - return 0; - -fatal: - errno = ENOTTY; - return -1; -} - -static void disableRawMode(int fd) { - /* Don't even check the return value as it's too late. */ - if (rawmode && tcsetattr(fd,TCSAFLUSH,&orig_termios) != -1) - rawmode = 0; -} - -/* Use the ESC [6n escape sequence to query the horizontal cursor position - * and return it. On error -1 is returned, on success the position of the - * cursor. */ -static int getCursorPosition(int ifd, int ofd) { - char buf[32]; - int cols, rows; - unsigned int i = 0; - - /* Report cursor location */ - if (write(ofd, "\x1b[6n", 4) != 4) return -1; - - /* Read the response: ESC [ rows ; cols R */ - while (i < sizeof(buf)-1) { - if (read(ifd,buf+i,1) != 1) break; - if (buf[i] == 'R') break; - i++; - } - buf[i] = '\0'; - - /* Parse it. */ - if (buf[0] != ESC || buf[1] != '[') return -1; - if (sscanf(buf+2,"%d;%d",&rows,&cols) != 2) return -1; - return cols; -} - -/* Try to get the number of columns in the current terminal, or assume 80 - * if it fails. */ -static int getColumns(int ifd, int ofd) { - struct winsize ws; - - if (ioctl(1, TIOCGWINSZ, &ws) == -1 || ws.ws_col == 0) { - /* ioctl() failed. Try to query the terminal itself. */ - int start, cols; - - /* Get the initial position so we can restore it later. */ - start = getCursorPosition(ifd,ofd); - if (start == -1) goto failed; - - /* Go to right margin and get position. */ - if (write(ofd,"\x1b[999C",6) != 6) goto failed; - cols = getCursorPosition(ifd,ofd); - if (cols == -1) goto failed; - - /* Restore position. */ - if (cols > start) { - char seq[32]; - snprintf(seq,32,"\x1b[%dD",cols-start); - if (write(ofd,seq,strlen(seq)) == -1) { - /* Can't recover... */ - } - } - return cols; - } else { - return ws.ws_col; - } - -failed: - return 80; -} - -/* Clear the screen. Used to handle ctrl+l */ -void linenoiseClearScreen(void) { - if (write(STDOUT_FILENO,"\x1b[H\x1b[2J",7) <= 0) { - /* nothing to do, just to avoid warning. */ - } -} - -/* Beep, used for completion when there is nothing to complete or when all - * the choices were already shown. */ -static void linenoiseBeep(void) { - fprintf(stderr, "\x7"); - fflush(stderr); -} - -/* Called by completeLine() and linenoiseShow() to render the current - * edited line with the proposed completion. If the current completion table - * is already available, it is passed as second argument, otherwise the - * function will use the callback to obtain it. - * - * Flags are the same as refreshLine*(), that is REFRESH_* macros. */ -static void refreshLineWithCompletion(struct linenoiseState *ls, linenoiseCompletions *lc, int flags) { - /* Obtain the table of completions if the caller didn't provide one. */ - linenoiseCompletions ctable; - if (lc == NULL) { - completionCallback(ls->buf, &ctable); - lc = &ctable; - } - - /* Show the edited line with completion if possible, or just refresh. */ - if (ls->completion_idx < lc->len) { - struct linenoiseState saved = *ls; - ls->len = ls->pos = strlen(lc->cvec[ls->completion_idx]); - ls->buf = lc->cvec[ls->completion_idx]; - refreshLineWithFlags(ls, flags); - ls->len = saved.len; - ls->pos = saved.pos; - ls->buf = saved.buf; - } else { - refreshLineWithFlags(ls, flags); - } - - if (lc == &ctable) { - ctable.to_free = false; - } -} - -/* This is an helper function for linenoiseEdit*() and is called when the - * user types the key in order to complete the string currently in the - * input. - * - * The state of the editing is encapsulated into the pointed linenoiseState - * structure as described in the structure definition. - * - * If the function returns non-zero, the caller should handle the - * returned value as a byte read from the standard input, and process - * it as usually: this basically means that the function may return a byte - * read from the termianl but not processed. Otherwise, if zero is returned, - * the input was consumed by the completeLine() function to navigate the - * possible completions, and the caller should read for the next characters - * from stdin. */ -static int completeLine(struct linenoiseState *ls, int keypressed) { - linenoiseCompletions lc; - int nwritten; - char c = keypressed; - - completionCallback(ls->buf, &lc); - if (lc.len == 0) { - linenoiseBeep(); - ls->in_completion = 0; - } else { - switch(c) { - case 9: /* tab */ - if (ls->in_completion == 0) { - ls->in_completion = 1; - ls->completion_idx = 0; - } else { - ls->completion_idx = (ls->completion_idx + 1) % (lc.len + 1); - if (ls->completion_idx == lc.len) linenoiseBeep(); - } - c = 0; - break; - case 27: /* escape */ - /* Re-show original buffer */ - if (ls->completion_idx < lc.len) refreshLine(ls); - ls->in_completion = 0; - c = 0; - break; - default: - /* Update buffer and return */ - if (ls->completion_idx < lc.len) { - nwritten = snprintf(ls->buf, ls->buflen, "%s", lc.cvec[ls->completion_idx]); - ls->len = ls->pos = nwritten; - } - ls->in_completion = 0; - break; - } - - /* Show completion or original buffer */ - if (ls->in_completion && ls->completion_idx < lc.len) { - refreshLineWithCompletion(ls, &lc, REFRESH_ALL); - } else { - refreshLine(ls); - } - } - - return c; /* Return last read character */ -} - -/* Register a callback function to be called for tab-completion. */ -void linenoiseSetCompletionCallback(linenoiseCompletionCallback *fn) { - completionCallback = fn; -} - -/* Register a hits function to be called to show hits to the user at the - * right of the prompt. */ -void linenoiseSetHintsCallback(linenoiseHintsCallback *fn) { - hintsCallback = fn; -} - -/* Register a function to free the hints returned by the hints callback - * registered with linenoiseSetHintsCallback(). */ -void linenoiseSetFreeHintsCallback(linenoiseFreeHintsCallback *fn) { - freeHintsCallback = fn; -} - -/* This function is used by the callback function registered by the user - * in order to add completion options given the input string when the - * user typed . See the example.c source code for a very easy to - * understand example. */ -void linenoiseAddCompletion(linenoiseCompletions *lc, const char *str) { - const size_t len = strlen(str); - auto copy = std::make_unique(len + 1); - if (!copy) { - return; - } - - memcpy(copy.get(), str, len + 1); - char ** cvec = static_cast(std::realloc(lc->cvec, sizeof(char *) * (lc->len + 1))); - if (cvec == nullptr) { - return; - } - - lc->cvec = cvec; - lc->cvec[lc->len++] = copy.release(); -} - -/* Helper of refreshSingleLine() and refreshMultiLine() to show hints - * to the right of the prompt. */ -static void refreshShowHints(std::string & ab, struct linenoiseState * l, int plen) { - char seq[64]; - if (hintsCallback && plen+l->len < l->cols) { - int color = -1, bold = 0; - const char *hint = hintsCallback(l->buf,&color,&bold); - if (hint) { - int hintlen = strlen(hint); - int hintmaxlen = l->cols-(plen+l->len); - if (hintlen > hintmaxlen) hintlen = hintmaxlen; - if (bold == 1 && color == -1) color = 37; - if (color != -1 || bold != 0) - snprintf(seq,64,"\033[%d;%d;49m",bold,color); - else - seq[0] = '\0'; - ab.append(seq); - ab.append(hint, hintlen); - if (color != -1 || bold != 0) - ab.append("\033[0m"); - - /* Call the function to free the hint returned. */ - if (freeHintsCallback) freeHintsCallback(hint); - } - } -} - -/* Single line low level line refresh. - * - * Rewrite the currently edited line accordingly to the buffer content, - * cursor position, and number of columns of the terminal. - * - * Flags is REFRESH_* macros. The function can just remove the old - * prompt, just write it, or both. */ -static void refreshSingleLine(struct linenoiseState *l, int flags) { - char seq[64]; - size_t plen = strlen(l->prompt); - int fd = l->ofd; - char *buf = l->buf; - size_t len = l->len; - size_t pos = l->pos; - std::string ab; - while((plen+pos) >= l->cols) { - buf++; - len--; - pos--; - } - while (plen+len > l->cols) { - len--; - } - - /* Cursor to left edge */ - snprintf(seq,sizeof(seq),"\r"); - ab.append(seq); - - if (flags & REFRESH_WRITE) { - /* Write the prompt and the current buffer content */ - ab.append(l->prompt); - if (maskmode == 1) { - while (len--) { - ab.append("*"); - } - } else { - ab.append(buf, len); - } - /* Show hits if any. */ - refreshShowHints(ab, l, plen); - } - - /* Erase to right */ - snprintf(seq,sizeof(seq),"\x1b[0K"); - ab.append(seq); - if (flags & REFRESH_WRITE) { - /* Move cursor to original position. */ - snprintf(seq,sizeof(seq),"\r\x1b[%dC", (int)(pos+plen)); - ab.append(seq); - } - - (void) !write(fd, ab.c_str(), ab.size()); /* Can't recover from write error. */ -} - -/* Multi line low level line refresh. - * - * Rewrite the currently edited line accordingly to the buffer content, - * cursor position, and number of columns of the terminal. - * - * Flags is REFRESH_* macros. The function can just remove the old - * prompt, just write it, or both. */ -static void refreshMultiLine(struct linenoiseState *l, int flags) { - char seq[64]; - int plen = strlen(l->prompt); - int rows = (plen+l->len+l->cols-1)/l->cols; /* rows used by current buf. */ - int rpos = (plen+l->oldpos+l->cols)/l->cols; /* cursor relative row. */ - int rpos2; /* rpos after refresh. */ - int col; /* colum position, zero-based. */ - int old_rows = l->oldrows; - int fd = l->ofd, j; - std::string ab; - l->oldrows = rows; - - /* First step: clear all the lines used before. To do so start by - * going to the last row. */ - if (flags & REFRESH_CLEAN) { - if (old_rows-rpos > 0) { - lndebug("go down %d", old_rows-rpos); - snprintf(seq,64,"\x1b[%dB", old_rows-rpos); - ab.append(seq); - } - - /* Now for every row clear it, go up. */ - for (j = 0; j < old_rows-1; j++) { - lndebug("clear+up"); - snprintf(seq,64,"\r\x1b[0K\x1b[1A"); - ab.append(seq); - } - } - - if (flags & REFRESH_ALL) { - /* Clean the top line. */ - lndebug("clear"); - snprintf(seq,64,"\r\x1b[0K"); - ab.append(seq); - } - - if (flags & REFRESH_WRITE) { - /* Write the prompt and the current buffer content */ - ab.append(l->prompt); - if (maskmode == 1) { - for (unsigned int i = 0; i < l->len; ++i) { - ab.append("*"); - } - } else { - ab.append(l->buf, l->len); - } - - /* Show hits if any. */ - refreshShowHints(ab, l, plen); - - /* If we are at the very end of the screen with our prompt, we need to - * emit a newline and move the prompt to the first column. */ - if (l->pos && - l->pos == l->len && - (l->pos+plen) % l->cols == 0) - { - lndebug(""); - ab.append("\n"); - snprintf(seq,64,"\r"); - ab.append(seq); - rows++; - if (rows > (int)l->oldrows) l->oldrows = rows; - } - - /* Move cursor to right position. */ - rpos2 = (plen+l->pos+l->cols)/l->cols; /* Current cursor relative row */ - lndebug("rpos2 %d", rpos2); - - /* Go up till we reach the expected positon. */ - if (rows-rpos2 > 0) { - lndebug("go-up %d", rows-rpos2); - snprintf(seq,64,"\x1b[%dA", rows-rpos2); - ab.append(seq); - } - - /* Set column. */ - col = (plen+(int)l->pos) % (int)l->cols; - lndebug("set col %d", 1+col); - if (col) - snprintf(seq,64,"\r\x1b[%dC", col); - else - snprintf(seq,64,"\r"); - ab.append(seq); - } - - lndebug("\n"); - l->oldpos = l->pos; - (void) !write(fd, ab.c_str(), ab.size()); /* Can't recover from write error. */ -} - -/* Calls the two low level functions refreshSingleLine() or - * refreshMultiLine() according to the selected mode. */ -static void refreshLineWithFlags(struct linenoiseState *l, int flags) { - if (mlmode) - refreshMultiLine(l,flags); - else - refreshSingleLine(l,flags); -} - -/* Utility function to avoid specifying REFRESH_ALL all the times. */ -static void refreshLine(struct linenoiseState *l) { - refreshLineWithFlags(l,REFRESH_ALL); -} - -/* Hide the current line, when using the multiplexing API. */ -void linenoiseHide(struct linenoiseState *l) { - if (mlmode) - refreshMultiLine(l,REFRESH_CLEAN); - else - refreshSingleLine(l,REFRESH_CLEAN); -} - -/* Show the current line, when using the multiplexing API. */ -void linenoiseShow(struct linenoiseState *l) { - if (l->in_completion) { - refreshLineWithCompletion(l,NULL,REFRESH_WRITE); - } else { - refreshLineWithFlags(l,REFRESH_WRITE); - } -} - -/* Insert the character 'c' at cursor current position. - * - * On error writing to the terminal -1 is returned, otherwise 0. */ -static int linenoiseEditInsert(struct linenoiseState * l, char c) { - if (l->len < l->buflen) { - if (l->len == l->pos) { - l->buf[l->pos] = c; - l->pos++; - l->len++; - l->buf[l->len] = '\0'; - if ((!mlmode && l->plen+l->len < l->cols && !hintsCallback)) { - /* Avoid a full update of the line in the - * trivial case. */ - char d = (maskmode==1) ? '*' : c; - if (write(l->ofd,&d,1) == -1) return -1; - } else { - refreshLine(l); - } - } else { - memmove(l->buf+l->pos+1,l->buf+l->pos,l->len-l->pos); - l->buf[l->pos] = c; - l->len++; - l->pos++; - l->buf[l->len] = '\0'; - refreshLine(l); - } - } - return 0; -} - -/* Move cursor on the left. */ -static void linenoiseEditMoveLeft(struct linenoiseState * l) { - if (l->pos > 0) { - l->pos--; - refreshLine(l); - } -} - -/* Move cursor on the right. */ -static void linenoiseEditMoveRight(struct linenoiseState * l) { - if (l->pos != l->len) { - l->pos++; - refreshLine(l); - } -} - -/* Move cursor to the start of the line. */ -static void linenoiseEditMoveHome(struct linenoiseState * l) { - if (l->pos != 0) { - l->pos = 0; - refreshLine(l); - } -} - -/* Move cursor to the end of the line. */ -static void linenoiseEditMoveEnd(struct linenoiseState * l) { - if (l->pos != l->len) { - l->pos = l->len; - refreshLine(l); - } -} - -/* Substitute the currently edited line with the next or previous history - * entry as specified by 'dir'. */ -#define LINENOISE_HISTORY_NEXT 0 -#define LINENOISE_HISTORY_PREV 1 - -static void linenoiseEditHistoryNext(struct linenoiseState * l, int dir) { - if (history_len > 1) { - /* Update the current history entry before to - * overwrite it with the next one. */ - free(history[history_len - 1 - l->history_index]); - history[history_len - 1 - l->history_index] = strdup(l->buf); - /* Show the new entry */ - l->history_index += (dir == LINENOISE_HISTORY_PREV) ? 1 : -1; - if (l->history_index < 0) { - l->history_index = 0; - return; - } else if (l->history_index >= history_len) { - l->history_index = history_len-1; - return; - } - strncpy(l->buf,history[history_len - 1 - l->history_index],l->buflen); - l->buf[l->buflen-1] = '\0'; - l->len = l->pos = strlen(l->buf); - refreshLine(l); - } -} - -/* Delete the character at the right of the cursor without altering the cursor - * position. Basically this is what happens with the "Delete" keyboard key. */ -static void linenoiseEditDelete(struct linenoiseState * l) { - if (l->len > 0 && l->pos < l->len) { - memmove(l->buf+l->pos,l->buf+l->pos+1,l->len-l->pos-1); - l->len--; - l->buf[l->len] = '\0'; - refreshLine(l); - } -} - -/* Backspace implementation. */ -static void linenoiseEditBackspace(struct linenoiseState * l) { - if (l->pos > 0 && l->len > 0) { - memmove(l->buf+l->pos-1,l->buf+l->pos,l->len-l->pos); - l->pos--; - l->len--; - l->buf[l->len] = '\0'; - refreshLine(l); - } -} - -/* Delete the previosu word, maintaining the cursor at the start of the - * current word. */ -static void linenoiseEditDeletePrevWord(struct linenoiseState * l) { - size_t old_pos = l->pos; - size_t diff; - - while (l->pos > 0 && l->buf[l->pos-1] == ' ') - l->pos--; - while (l->pos > 0 && l->buf[l->pos-1] != ' ') - l->pos--; - diff = old_pos - l->pos; - memmove(l->buf+l->pos,l->buf+old_pos,l->len-old_pos+1); - l->len -= diff; - refreshLine(l); -} - -/* This function is part of the multiplexed API of Linenoise, that is used - * in order to implement the blocking variant of the API but can also be - * called by the user directly in an event driven program. It will: - * - * 1. Initialize the linenoise state passed by the user. - * 2. Put the terminal in RAW mode. - * 3. Show the prompt. - * 4. Return control to the user, that will have to call linenoiseEditFeed() - * each time there is some data arriving in the standard input. - * - * The user can also call linenoiseEditHide() and linenoiseEditShow() if it - * is required to show some input arriving asyncronously, without mixing - * it with the currently edited line. - * - * When linenoiseEditFeed() returns non-NULL, the user finished with the - * line editing session (pressed enter CTRL-D/C): in this case the caller - * needs to call linenoiseEditStop() to put back the terminal in normal - * mode. This will not destroy the buffer, as long as the linenoiseState - * is still valid in the context of the caller. - * - * The function returns 0 on success, or -1 if writing to standard output - * fails. If stdin_fd or stdout_fd are set to -1, the default is to use - * STDIN_FILENO and STDOUT_FILENO. - */ -int linenoiseEditStart(struct linenoiseState *l, int stdin_fd, int stdout_fd, char *buf, size_t buflen, const char *prompt) { - /* Populate the linenoise state that we pass to functions implementing - * specific editing functionalities. */ - l->in_completion = 0; - l->ifd = stdin_fd != -1 ? stdin_fd : STDIN_FILENO; - l->ofd = stdout_fd != -1 ? stdout_fd : STDOUT_FILENO; - l->buf = buf; - l->buflen = buflen; - l->prompt = prompt; - l->plen = strlen(prompt); - l->oldpos = l->pos = 0; - l->len = 0; - - /* Enter raw mode. */ - if (enableRawMode(l->ifd) == -1) return -1; - - l->cols = getColumns(stdin_fd, stdout_fd); - l->oldrows = 0; - l->history_index = 0; - - /* Buffer starts empty. */ - l->buf[0] = '\0'; - l->buflen--; /* Make sure there is always space for the nulterm */ - - /* If stdin is not a tty, stop here with the initialization. We - * will actually just read a line from standard input in blocking - * mode later, in linenoiseEditFeed(). */ - if (!isatty(l->ifd)) return 0; - - /* The latest history entry is always our current buffer, that - * initially is just an empty string. */ - linenoiseHistoryAdd(""); - - if (write(l->ofd,prompt,l->plen) == -1) return -1; - return 0; -} - -const char* linenoiseEditMore = "If you see this, you are misusing the API: when linenoiseEditFeed() is called, if it returns linenoiseEditMore the user is yet editing the line. See the README file for more information."; - -/* This function is part of the multiplexed API of linenoise, see the top - * comment on linenoiseEditStart() for more information. Call this function - * each time there is some data to read from the standard input file - * descriptor. In the case of blocking operations, this function can just be - * called in a loop, and block. - * - * The function returns linenoiseEditMore to signal that line editing is still - * in progress, that is, the user didn't yet pressed enter / CTRL-D. Otherwise - * the function returns the pointer to the heap-allocated buffer with the - * edited line, that the user should free with linenoiseFree(). - * - * On special conditions, NULL is returned and errno is populated: - * - * EAGAIN if the user pressed Ctrl-C - * ENOENT if the user pressed Ctrl-D - * - * Some other errno: I/O error. - */ -const char *linenoiseEditFeed(struct linenoiseState *l) { - /* Not a TTY, pass control to line reading without character - * count limits. */ - if (!isatty(l->ifd)) return linenoiseNoTTY(); - - char c; - int nread; - char seq[3]; - - nread = read(l->ifd,&c,1); - if (nread <= 0) return NULL; - - /* Only autocomplete when the callback is set. It returns < 0 when - * there was an error reading from fd. Otherwise it will return the - * character that should be handled next. */ - if ((l->in_completion || c == 9) && completionCallback != NULL) { - c = completeLine(l,c); - /* Read next character when 0 */ - if (c == 0) return linenoiseEditMore; - } - - switch(c) { - case ENTER: /* enter */ - history_len--; - free(history[history_len]); - if (mlmode) linenoiseEditMoveEnd(l); - if (hintsCallback) { - /* Force a refresh without hints to leave the previous - * line as the user typed it after a newline. */ - linenoiseHintsCallback *hc = hintsCallback; - hintsCallback = NULL; - refreshLine(l); - hintsCallback = hc; - } - return strdup(l->buf); - case CTRL_C: /* ctrl-c */ - errno = EAGAIN; - return NULL; - case BACKSPACE: /* backspace */ - case 8: /* ctrl-h */ - linenoiseEditBackspace(l); - break; - case CTRL_D: /* ctrl-d, remove char at right of cursor, or if the - line is empty, act as end-of-file. */ - if (l->len > 0) { - linenoiseEditDelete(l); - } else { - history_len--; - free(history[history_len]); - errno = ENOENT; - return NULL; - } - break; - case CTRL_T: /* ctrl-t, swaps current character with previous. */ - if (l->pos > 0 && l->pos < l->len) { - int aux = l->buf[l->pos-1]; - l->buf[l->pos-1] = l->buf[l->pos]; - l->buf[l->pos] = aux; - if (l->pos != l->len-1) l->pos++; - refreshLine(l); - } - break; - case CTRL_B: /* ctrl-b */ - linenoiseEditMoveLeft(l); - break; - case CTRL_F: /* ctrl-f */ - linenoiseEditMoveRight(l); - break; - case CTRL_P: /* ctrl-p */ - linenoiseEditHistoryNext(l, LINENOISE_HISTORY_PREV); - break; - case CTRL_N: /* ctrl-n */ - linenoiseEditHistoryNext(l, LINENOISE_HISTORY_NEXT); - break; - case ESC: /* escape sequence */ - /* Read the next two bytes representing the escape sequence. - * Use two calls to handle slow terminals returning the two - * chars at different times. */ - if (read(l->ifd,seq,1) == -1) break; - if (read(l->ifd,seq+1,1) == -1) break; - - /* ESC [ sequences. */ - if (seq[0] == '[') { - if (seq[1] >= '0' && seq[1] <= '9') { - /* Extended escape, read additional byte. */ - if (read(l->ifd,seq+2,1) == -1) break; - if (seq[2] == '~') { - switch(seq[1]) { - case '3': /* Delete key. */ - linenoiseEditDelete(l); - break; - } - } - } else { - switch(seq[1]) { - case 'A': /* Up */ - linenoiseEditHistoryNext(l, LINENOISE_HISTORY_PREV); - break; - case 'B': /* Down */ - linenoiseEditHistoryNext(l, LINENOISE_HISTORY_NEXT); - break; - case 'C': /* Right */ - linenoiseEditMoveRight(l); - break; - case 'D': /* Left */ - linenoiseEditMoveLeft(l); - break; - case 'H': /* Home */ - linenoiseEditMoveHome(l); - break; - case 'F': /* End*/ - linenoiseEditMoveEnd(l); - break; - } - } - } - - /* ESC O sequences. */ - else if (seq[0] == 'O') { - switch(seq[1]) { - case 'H': /* Home */ - linenoiseEditMoveHome(l); - break; - case 'F': /* End*/ - linenoiseEditMoveEnd(l); - break; - } - } - break; - default: - if (linenoiseEditInsert(l,c)) return NULL; - break; - case CTRL_U: /* Ctrl+u, delete the whole line. */ - l->buf[0] = '\0'; - l->pos = l->len = 0; - refreshLine(l); - break; - case CTRL_K: /* Ctrl+k, delete from current to end of line. */ - l->buf[l->pos] = '\0'; - l->len = l->pos; - refreshLine(l); - break; - case CTRL_A: /* Ctrl+a, go to the start of the line */ - linenoiseEditMoveHome(l); - break; - case CTRL_E: /* ctrl+e, go to the end of the line */ - linenoiseEditMoveEnd(l); - break; - case CTRL_L: /* ctrl+l, clear screen */ - linenoiseClearScreen(); - refreshLine(l); - break; - case CTRL_W: /* ctrl+w, delete previous word */ - linenoiseEditDeletePrevWord(l); - break; - } - return linenoiseEditMore; -} - -/* This is part of the multiplexed linenoise API. See linenoiseEditStart() - * for more information. This function is called when linenoiseEditFeed() - * returns something different than NULL. At this point the user input - * is in the buffer, and we can restore the terminal in normal mode. */ -void linenoiseEditStop(struct linenoiseState *l) { - if (!isatty(l->ifd)) return; - disableRawMode(l->ifd); - printf("\n"); -} - -/* This just implements a blocking loop for the multiplexed API. - * In many applications that are not event-drivern, we can just call - * the blocking linenoise API, wait for the user to complete the editing - * and return the buffer. */ -static const char *linenoiseBlockingEdit(int stdin_fd, int stdout_fd, char *buf, size_t buflen, const char *prompt) -{ - struct linenoiseState l; - - /* Editing without a buffer is invalid. */ - if (buflen == 0) { - errno = EINVAL; - return NULL; - } - - linenoiseEditStart(&l,stdin_fd,stdout_fd,buf,buflen,prompt); - const char *res; - while((res = linenoiseEditFeed(&l)) == linenoiseEditMore); - linenoiseEditStop(&l); - return res; -} - -/* This special mode is used by linenoise in order to print scan codes - * on screen for debugging / development purposes. It is implemented - * by the linenoise_example program using the --keycodes option. */ -void linenoisePrintKeyCodes(void) { - char quit[4]; - - printf("Linenoise key codes debugging mode.\n" - "Press keys to see scan codes. Type 'quit' at any time to exit.\n"); - if (enableRawMode(STDIN_FILENO) == -1) return; - memset(quit,' ',4); - while(1) { - char c; - int nread; - - nread = read(STDIN_FILENO,&c,1); - if (nread <= 0) continue; - memmove(quit,quit+1,sizeof(quit)-1); /* shift string to left. */ - quit[sizeof(quit)-1] = c; /* Insert current char on the right. */ - if (memcmp(quit,"quit",sizeof(quit)) == 0) break; - - printf("'%c' %02x (%d) (type quit to exit)\n", - isprint(c) ? c : '?', (int)c, (int)c); - printf("\r"); /* Go left edge manually, we are in raw mode. */ - fflush(stdout); - } - disableRawMode(STDIN_FILENO); -} - -/* This function is called when linenoise() is called with the standard - * input file descriptor not attached to a TTY. So for example when the - * program using linenoise is called in pipe or with a file redirected - * to its standard input. In this case, we want to be able to return the - * line regardless of its length (by default we are limited to 4k). */ -static char *linenoiseNoTTY(void) { - char *line = NULL; - size_t len = 0, maxlen = 0; - - while(1) { - if (len == maxlen) { - if (maxlen == 0) maxlen = 16; - maxlen *= 2; - char *oldval = line; - line = (char*) realloc(line,maxlen); - if (line == NULL) { - if (oldval) free(oldval); - return NULL; - } - } - int c = fgetc(stdin); - if (c == EOF || c == '\n') { - if (c == EOF && len == 0) { - free(line); - return NULL; - } else { - line[len] = '\0'; - return line; - } - } else { - line[len] = c; - len++; - } - } -} - -/* The high level function that is the main API of the linenoise library. - * This function checks if the terminal has basic capabilities, just checking - * for a blacklist of stupid terminals, and later either calls the line - * editing function or uses dummy fgets() so that you will be able to type - * something even in the most desperate of the conditions. */ -const char *linenoise(const char *prompt) { - char buf[LINENOISE_MAX_LINE]; - - if (!isatty(STDIN_FILENO)) { - /* Not a tty: read from file / pipe. In this mode we don't want any - * limit to the line size, so we call a function to handle that. */ - return linenoiseNoTTY(); - } else if (isUnsupportedTerm()) { - size_t len; - - printf("%s",prompt); - fflush(stdout); - if (fgets(buf,LINENOISE_MAX_LINE,stdin) == NULL) return NULL; - len = strlen(buf); - while(len && (buf[len-1] == '\n' || buf[len-1] == '\r')) { - len--; - buf[len] = '\0'; - } - return strdup(buf); - } else { - const char *retval = linenoiseBlockingEdit(STDIN_FILENO,STDOUT_FILENO,buf,LINENOISE_MAX_LINE,prompt); - return retval; - } -} - -/* This is just a wrapper the user may want to call in order to make sure - * the linenoise returned buffer is freed with the same allocator it was - * created with. Useful when the main program is using an alternative - * allocator. */ -void linenoiseFree(void *ptr) { - if (ptr == linenoiseEditMore) return; // Protect from API misuse. - free(ptr); -} - -/* ================================ History ================================= */ - -/* Free the history, but does not reset it. Only used when we have to - * exit() to avoid memory leaks are reported by valgrind & co. */ -static void freeHistory(void) { - if (history) { - int j; - - for (j = 0; j < history_len; j++) - free(history[j]); - free(history); - } -} - -/* At exit we'll try to fix the terminal to the initial conditions. */ -static void linenoiseAtExit(void) { - disableRawMode(STDIN_FILENO); - freeHistory(); -} - -/* This is the API call to add a new entry in the linenoise history. - * It uses a fixed array of char pointers that are shifted (memmoved) - * when the history max length is reached in order to remove the older - * entry and make room for the new one, so it is not exactly suitable for huge - * histories, but will work well for a few hundred of entries. - * - * Using a circular buffer is smarter, but a bit more complex to handle. */ -int linenoiseHistoryAdd(const char *line) { - char *linecopy; - - if (history_max_len == 0) return 0; - - /* Initialization on first call. */ - if (history == NULL) { - history = (char**) malloc(sizeof(char*)*history_max_len); - if (history == NULL) return 0; - memset(history,0,(sizeof(char*)*history_max_len)); - } - - /* Don't add duplicated lines. */ - if (history_len && !strcmp(history[history_len-1], line)) return 0; - - /* Add an heap allocated copy of the line in the history. - * If we reached the max length, remove the older line. */ - linecopy = strdup(line); - if (!linecopy) return 0; - if (history_len == history_max_len) { - free(history[0]); - memmove(history,history+1,sizeof(char*)*(history_max_len-1)); - history_len--; - } - history[history_len] = linecopy; - history_len++; - return 1; -} - -/* Set the maximum length for the history. This function can be called even - * if there is already some history, the function will make sure to retain - * just the latest 'len' elements if the new history length value is smaller - * than the amount of items already inside the history. */ -int linenoiseHistorySetMaxLen(int len) { - char **new_ptr; - - if (len < 1) return 0; - if (history) { - int tocopy = history_len; - - new_ptr = (char**) malloc(sizeof(char*)*len); - if (new_ptr == NULL) return 0; - - /* If we can't copy everything, free the elements we'll not use. */ - if (len < tocopy) { - int j; - - for (j = 0; j < tocopy-len; j++) free(history[j]); - tocopy = len; - } - memset(new_ptr,0,sizeof(char*)*len); - memcpy(new_ptr,history+(history_len-tocopy), sizeof(char*)*tocopy); - free(history); - history = new_ptr; - } - history_max_len = len; - if (history_len > history_max_len) - history_len = history_max_len; - return 1; -} - -/* Save the history in the specified file. On success 0 is returned - * otherwise -1 is returned. */ -int linenoiseHistorySave(const char *filename) { - mode_t old_umask = umask(S_IXUSR|S_IRWXG|S_IRWXO); - File file; - file.open(filename, "w"); - umask(old_umask); - if (file.file == NULL) { - return -1; - } - chmod(filename,S_IRUSR|S_IWUSR); - for (int j = 0; j < history_len; ++j) { - fprintf(file.file, "%s\n", history[j]); - } - - return 0; -} - -/* Load the history from the specified file. If the file does not exist - * zero is returned and no operation is performed. - * - * If the file exists and the operation succeeded 0 is returned, otherwise - * on error -1 is returned. */ -int linenoiseHistoryLoad(const char *filename) { - File file; - file.open(filename, "r"); - char buf[LINENOISE_MAX_LINE]; - if (file.file == NULL) { - return -1; - } - - while (fgets(buf, LINENOISE_MAX_LINE, file.file) != NULL) { - char *p; - - p = strchr(buf,'\r'); - if (!p) p = strchr(buf,'\n'); - if (p) *p = '\0'; - linenoiseHistoryAdd(buf); - } - return 0; -} -#endif diff --git a/examples/run/linenoise.cpp/linenoise.h b/examples/run/linenoise.cpp/linenoise.h deleted file mode 100644 index a14ec6c74..000000000 --- a/examples/run/linenoise.cpp/linenoise.h +++ /dev/null @@ -1,128 +0,0 @@ -/* linenoise.h -- VERSION 1.0 - * - * Guerrilla line editing library against the idea that a line editing lib - * needs to be 20,000 lines of C++ code. - * - * See linenoise.cpp for more information. - * - * ------------------------------------------------------------------------ - * - * Copyright (c) 2010-2023, Salvatore Sanfilippo - * Copyright (c) 2010-2013, Pieter Noordhuis - * Copyright (c) 2025, Eric Curtin - * - * All rights reserved. - * - * Redistribution and use in source and binary forms, with or without - * modification, are permitted provided that the following conditions are - * met: - * - * * Redistributions of source code must retain the above copyright - * notice, this list of conditions and the following disclaimer. - * - * * Redistributions in binary form must reproduce the above copyright - * notice, this list of conditions and the following disclaimer in the - * documentation and/or other materials provided with the distribution. - * - * THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS - * "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT - * LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR - * A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT - * HOLDER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, - * SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT - * LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, - * DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY - * THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT - * (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE - * OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. - */ - -#ifndef __LINENOISE_H -#define __LINENOISE_H - -#ifdef __cplusplus -extern "C" { -#endif - -#include /* For size_t. */ -#include - -extern const char *linenoiseEditMore; - -/* The linenoiseState structure represents the state during line editing. - * We pass this state to functions implementing specific editing - * functionalities. */ -struct linenoiseState { - int in_completion; /* The user pressed TAB and we are now in completion - * mode, so input is handled by completeLine(). */ - size_t completion_idx; /* Index of next completion to propose. */ - int ifd; /* Terminal stdin file descriptor. */ - int ofd; /* Terminal stdout file descriptor. */ - char *buf; /* Edited line buffer. */ - size_t buflen; /* Edited line buffer size. */ - const char *prompt; /* Prompt to display. */ - size_t plen; /* Prompt length. */ - size_t pos; /* Current cursor position. */ - size_t oldpos; /* Previous refresh cursor position. */ - size_t len; /* Current edited line length. */ - size_t cols; /* Number of columns in terminal. */ - size_t oldrows; /* Rows used by last refrehsed line (multiline mode) */ - int history_index; /* The history index we are currently editing. */ -}; - -struct linenoiseCompletions { - size_t len = 0; - char ** cvec = nullptr; - bool to_free = true; - - ~linenoiseCompletions() { - if (!to_free) { - return; - } - - for (size_t i = 0; i < len; ++i) { - free(cvec[i]); - } - - free(cvec); - } -}; - -/* Non blocking API. */ -int linenoiseEditStart(struct linenoiseState *l, int stdin_fd, int stdout_fd, char *buf, size_t buflen, const char *prompt); -const char *linenoiseEditFeed(struct linenoiseState *l); -void linenoiseEditStop(struct linenoiseState *l); -void linenoiseHide(struct linenoiseState *l); -void linenoiseShow(struct linenoiseState *l); - -/* Blocking API. */ -const char *linenoise(const char *prompt); -void linenoiseFree(void *ptr); - -/* Completion API. */ -typedef void(linenoiseCompletionCallback)(const char *, linenoiseCompletions *); -typedef const char*(linenoiseHintsCallback)(const char *, int *color, int *bold); -typedef void(linenoiseFreeHintsCallback)(const char *); -void linenoiseSetCompletionCallback(linenoiseCompletionCallback *); -void linenoiseSetHintsCallback(linenoiseHintsCallback *); -void linenoiseSetFreeHintsCallback(linenoiseFreeHintsCallback *); -void linenoiseAddCompletion(linenoiseCompletions *, const char *); - -/* History API. */ -int linenoiseHistoryAdd(const char *line); -int linenoiseHistorySetMaxLen(int len); -int linenoiseHistorySave(const char *filename); -int linenoiseHistoryLoad(const char *filename); - -/* Other utilities. */ -void linenoiseClearScreen(void); -void linenoiseSetMultiLine(int ml); -void linenoisePrintKeyCodes(void); -void linenoiseMaskModeEnable(void); -void linenoiseMaskModeDisable(void); - -#ifdef __cplusplus -} -#endif - -#endif /* __LINENOISE_H */ diff --git a/examples/server/public/index.html.gz b/examples/server/public/index.html.gz index 582ccc0d3..646988ad8 100644 Binary files a/examples/server/public/index.html.gz and b/examples/server/public/index.html.gz differ diff --git a/examples/server/server.cpp b/examples/server/server.cpp index 3451e96a2..9cdf2058f 100644 --- a/examples/server/server.cpp +++ b/examples/server/server.cpp @@ -131,6 +131,11 @@ struct slot_params { lora.push_back({{"id", i}, {"scale", this->lora[i].scale}}); } + std::vector grammar_trigger_words; + for (const auto & trigger : sampling.grammar_trigger_words) { + grammar_trigger_words.push_back(trigger.word); + } + return json { {"n_predict", n_predict}, // Server configured n_predict {"seed", sampling.seed}, @@ -165,8 +170,9 @@ struct slot_params { {"n_probs", sampling.n_probs}, {"min_keep", sampling.min_keep}, {"grammar", sampling.grammar}, - // {"grammar_trigger_words", sampling.grammar_trigger_words}, + {"grammar_trigger_words", grammar_trigger_words}, {"grammar_trigger_tokens", sampling.grammar_trigger_tokens}, + {"preserved_tokens", sampling.preserved_tokens}, {"samplers", samplers}, {"speculative.n_max", speculative.n_max}, {"speculative.n_min", speculative.n_min}, @@ -363,12 +369,26 @@ struct server_task { if (ids.size() == 1) { LOG_DBG("Grammar trigger token: %d (`%s`)\n", ids[0], trigger.word.c_str()); params.sampling.grammar_trigger_tokens.push_back(ids[0]); + params.sampling.preserved_tokens.insert(ids[0]); continue; } LOG_DBG("Grammar trigger word: `%s`\n", trigger.word.c_str()); params.sampling.grammar_trigger_words.push_back(trigger); } } + const auto preserved_tokens = data.find("preserved_tokens"); + if (preserved_tokens != data.end()) { + for (const auto & t : *preserved_tokens) { + auto ids = common_tokenize(vocab, t.get(), /* add_special= */ false, /* parse_special= */ true); + if (ids.size() == 1) { + LOG_DBG("Preserved token: %d\n", ids[0]); + params.sampling.preserved_tokens.insert(ids[0]); + } else { + // This may happen when using a tool call style meant for a model with special tokens to preserve on a model without said tokens. + LOG_WRN("Not preserved because more than 1 token (wrong chat template override?): %s\n", t.get().c_str()); + } + } + } if (params.sampling.grammar_lazy) { GGML_ASSERT(params.sampling.grammar_trigger_tokens.size() > 0 || params.sampling.grammar_trigger_words.size() > 0); } @@ -695,19 +715,19 @@ struct server_task_result_cmpl_final : server_task_result { json to_json_oaicompat_chat() { std::string finish_reason = "length"; - common_chat_msg message; + common_chat_msg msg; if (stop == STOP_TYPE_WORD || stop == STOP_TYPE_EOS) { LOG_DBG("Parsing chat message: %s\n", content.c_str()); - message = common_chat_parse(content, oaicompat_chat_format); - finish_reason = message.tool_calls.empty() ? "stop" : "tool_calls"; + msg = common_chat_parse(content, oaicompat_chat_format); + finish_reason = msg.tool_calls.empty() ? "stop" : "tool_calls"; } else { - message.content = content; + msg.content = content; } json tool_calls; - if (!message.tool_calls.empty()) { + if (!msg.tool_calls.empty()) { tool_calls = json::array(); - for (const auto & tc : message.tool_calls) { + for (const auto & tc : msg.tool_calls) { tool_calls.push_back({ {"type", "function"}, {"function", { @@ -719,14 +739,19 @@ struct server_task_result_cmpl_final : server_task_result { } } + json message { + {"content", msg.content}, + {"tool_calls", tool_calls}, + {"role", "assistant"}, + }; + if (!msg.tool_plan.empty()) { + message["tool_plan"] = msg.tool_plan; + } + json choice { {"finish_reason", finish_reason}, {"index", 0}, - {"message", json { - {"content", message.content}, - {"tool_calls", tool_calls}, - {"role", "assistant"}, - }}, + {"message", message}, }; if (!stream && probs_output.size() > 0) { @@ -2833,8 +2858,7 @@ struct server_context { server_slot * slot_batched = nullptr; auto accept_special_token = [&](server_slot & slot, llama_token token) { - const auto & trigger_tokens = slot.params.sampling.grammar_trigger_tokens; - return params_base.special || std::find(trigger_tokens.begin(), trigger_tokens.end(), token) != trigger_tokens.end(); + return params_base.special || slot.params.sampling.preserved_tokens.find(token) != slot.params.sampling.preserved_tokens.end(); }; // frist, add sampled tokens from any ongoing sequences @@ -3329,6 +3353,8 @@ static void log_server_request(const httplib::Request & req, const httplib::Resp return; } + // reminder: this function is not covered by httplib's exception handler; if someone does more complicated stuff, think about wrapping it in try-catch + LOG_INF("request: %s %s %s %d\n", req.method.c_str(), req.path.c_str(), req.remote_addr.c_str(), res.status); LOG_DBG("request: %s\n", req.body.c_str()); @@ -3415,9 +3441,13 @@ int main(int argc, char ** argv) { message = "Unknown Exception"; } - json formatted_error = format_error_response(message, ERROR_TYPE_SERVER); - LOG_WRN("got exception: %s\n", formatted_error.dump().c_str()); - res_error(res, formatted_error); + try { + json formatted_error = format_error_response(message, ERROR_TYPE_SERVER); + LOG_WRN("got exception: %s\n", formatted_error.dump().c_str()); + res_error(res, formatted_error); + } catch (const std::exception & e) { + LOG_ERR("got another exception: %s | while hanlding exception: %s\n", e.what(), message.c_str()); + } }); svr->set_error_handler([&res_error](const httplib::Request &, httplib::Response & res) { diff --git a/examples/server/tests/unit/test_chat_completion.py b/examples/server/tests/unit/test_chat_completion.py index f5d8b0572..f23d5cff4 100644 --- a/examples/server/tests/unit/test_chat_completion.py +++ b/examples/server/tests/unit/test_chat_completion.py @@ -13,9 +13,12 @@ def create_server(): @pytest.mark.parametrize( "model,system_prompt,user_prompt,max_tokens,re_content,n_prompt,n_predicted,finish_reason,jinja,chat_template", [ + (None, "Book", "Hey", 8, "But she couldn't", 69, 8, "length", False, None), + (None, "Book", "Hey", 8, "But she couldn't", 69, 8, "length", True, None), (None, "Book", "What is the best book", 8, "(Suddenly)+|\\{ \" Sarax.", 77, 8, "length", False, None), - (None, "Book", "What is the best book", 8, "(Suddenly)+|\\{ \" Sarax.", 77, 8, "length", True, None), - (None, "Book", "What is the best book", 8, "^ blue", 23, 8, "length", True, "This is not a chat template, it is"), + (None, "Book", "What is the best book", 8, "(Suddenly)+|\\{ \" Sarax.", 77, 8, "length", True, None), + (None, "Book", "What is the best book", 8, "(Suddenly)+|\\{ \" Sarax.", 77, 8, "length", True, 'chatml'), + (None, "Book", "What is the best book", 8, "^ blue", 23, 8, "length", True, "This is not a chat template, it is"), ("codellama70b", "You are a coding assistant.", "Write the fibonacci function in c++.", 128, "(Aside|she|felter|alonger)+", 104, 64, "length", False, None), ("codellama70b", "You are a coding assistant.", "Write the fibonacci function in c++.", 128, "(Aside|she|felter|alonger)+", 104, 64, "length", True, None), ] diff --git a/examples/server/tests/unit/test_tool_call.py b/examples/server/tests/unit/test_tool_call.py index e6ed9c9be..4a551404f 100644 --- a/examples/server/tests/unit/test_tool_call.py +++ b/examples/server/tests/unit/test_tool_call.py @@ -67,8 +67,8 @@ WEATHER_TOOL = { def do_test_completion_with_required_tool_tiny(template_name: str, tool: dict, argument_key: str | None): - n_predict = 512 global server + n_predict = 512 # server = ServerPreset.stories15m_moe() server.jinja = True server.n_predict = n_predict @@ -139,29 +139,49 @@ def test_completion_with_required_tool_tiny_slow(template_name: str, tool: dict, @pytest.mark.parametrize("tool,argument_key,hf_repo,template_override", [ (TEST_TOOL, "success", "bartowski/Meta-Llama-3.1-8B-Instruct-GGUF:Q4_K_M", None), (PYTHON_TOOL, "code", "bartowski/Meta-Llama-3.1-8B-Instruct-GGUF:Q4_K_M", None), + (PYTHON_TOOL, "code", "bartowski/Meta-Llama-3.1-8B-Instruct-GGUF:Q4_K_M", "chatml"), + + # Note: gemma-2-2b-it knows itself as "model", not "assistant", so we don't test the ill-suited chatml on it. (TEST_TOOL, "success", "bartowski/gemma-2-2b-it-GGUF:Q4_K_M", None), (PYTHON_TOOL, "code", "bartowski/gemma-2-2b-it-GGUF:Q4_K_M", None), + (TEST_TOOL, "success", "bartowski/Phi-3.5-mini-instruct-GGUF:Q4_K_M", None), (PYTHON_TOOL, "code", "bartowski/Phi-3.5-mini-instruct-GGUF:Q4_K_M", None), + (PYTHON_TOOL, "code", "bartowski/Phi-3.5-mini-instruct-GGUF:Q4_K_M", "chatml"), + (TEST_TOOL, "success", "bartowski/Qwen2.5-7B-Instruct-GGUF:Q4_K_M", None), (PYTHON_TOOL, "code", "bartowski/Qwen2.5-7B-Instruct-GGUF:Q4_K_M", None), + (PYTHON_TOOL, "code", "bartowski/Qwen2.5-7B-Instruct-GGUF:Q4_K_M", "chatml"), + (TEST_TOOL, "success", "bartowski/Hermes-2-Pro-Llama-3-8B-GGUF:Q4_K_M", ("NousResearch/Hermes-2-Pro-Llama-3-8B", "tool_use")), (PYTHON_TOOL, "code", "bartowski/Hermes-2-Pro-Llama-3-8B-GGUF:Q4_K_M", ("NousResearch/Hermes-2-Pro-Llama-3-8B", "tool_use")), + (PYTHON_TOOL, "code", "bartowski/Hermes-2-Pro-Llama-3-8B-GGUF:Q4_K_M", "chatml"), + (TEST_TOOL, "success", "bartowski/Hermes-3-Llama-3.1-8B-GGUF:Q4_K_M", ("NousResearch/Hermes-3-Llama-3.1-8B", "tool_use")), (PYTHON_TOOL, "code", "bartowski/Hermes-3-Llama-3.1-8B-GGUF:Q4_K_M", ("NousResearch/Hermes-3-Llama-3.1-8B", "tool_use")), + (PYTHON_TOOL, "code", "bartowski/Hermes-3-Llama-3.1-8B-GGUF:Q4_K_M", "chatml"), + (TEST_TOOL, "success", "bartowski/Mistral-Nemo-Instruct-2407-GGUF:Q4_K_M", None), (PYTHON_TOOL, "code", "bartowski/Mistral-Nemo-Instruct-2407-GGUF:Q4_K_M", None), - (TEST_TOOL, "success", "bartowski/functionary-small-v3.2-GGUF:Q8_0", ("meetkai/functionary-medium-v3.2", None)), - (PYTHON_TOOL, "code", "bartowski/functionary-small-v3.2-GGUF:Q8_0", ("meetkai/functionary-medium-v3.2", None)), + (PYTHON_TOOL, "code", "bartowski/Mistral-Nemo-Instruct-2407-GGUF:Q4_K_M", "chatml"), + + (TEST_TOOL, "success", "bartowski/functionary-small-v3.2-GGUF:Q4_K_M", ("meetkai/functionary-medium-v3.2", None)), + (PYTHON_TOOL, "code", "bartowski/functionary-small-v3.2-GGUF:Q4_K_M", ("meetkai/functionary-medium-v3.2", None)), + (PYTHON_TOOL, "code", "bartowski/functionary-small-v3.2-GGUF:Q4_K_M", "chatml"), + (TEST_TOOL, "success", "bartowski/Llama-3.2-3B-Instruct-GGUF:Q4_K_M", ("meta-llama/Llama-3.2-3B-Instruct", None)), (PYTHON_TOOL, "code", "bartowski/Llama-3.2-3B-Instruct-GGUF:Q4_K_M", ("meta-llama/Llama-3.2-3B-Instruct", None)), + (PYTHON_TOOL, "code", "bartowski/Llama-3.2-3B-Instruct-GGUF:Q4_K_M", "chatml"), + (TEST_TOOL, "success", "bartowski/Llama-3.2-1B-Instruct-GGUF:Q4_K_M", ("meta-llama/Llama-3.2-3B-Instruct", None)), (PYTHON_TOOL, "code", "bartowski/Llama-3.2-1B-Instruct-GGUF:Q4_K_M", ("meta-llama/Llama-3.2-3B-Instruct", None)), + (PYTHON_TOOL, "code", "bartowski/Llama-3.2-1B-Instruct-GGUF:Q4_K_M", "chatml"), # TODO: fix these # (TEST_TOOL, "success", "bartowski/DeepSeek-R1-Distill-Qwen-7B-GGUF:Q4_K_M", None), # (PYTHON_TOOL, "code", "bartowski/DeepSeek-R1-Distill-Qwen-7B-GGUF:Q4_K_M", None), ]) -def test_completion_with_required_tool_real_model(tool: dict, argument_key: str | None, hf_repo: str, template_override: Tuple[str, str | None] | None): +def test_completion_with_required_tool_real_model(tool: dict, argument_key: str | None, hf_repo: str, template_override: str | Tuple[str, str | None] | None): + global server n_predict = 512 server.n_slots = 1 server.jinja = True @@ -169,10 +189,12 @@ def test_completion_with_required_tool_real_model(tool: dict, argument_key: str server.n_predict = n_predict server.model_hf_repo = hf_repo server.model_hf_file = None - if template_override: + if isinstance(template_override, tuple): (template_hf_repo, template_variant) = template_override server.chat_template_file = f"../../../models/templates/{template_hf_repo.replace('/', '-') + ('-' + template_variant if template_variant else '')}.jinja" assert os.path.exists(server.chat_template_file), f"Template file {server.chat_template_file} does not exist. Run `python scripts/get_chat_template.py {template_hf_repo} {template_variant} > {server.chat_template_file}` to download the template." + elif isinstance(template_override, str): + server.chat_template = template_override server.start(timeout_seconds=TIMEOUT_SERVER_START) res = server.make_request("POST", "/chat/completions", data={ "max_tokens": n_predict, @@ -251,33 +273,55 @@ def test_completion_without_tool_call_slow(template_name: str, n_predict: int, t @pytest.mark.slow @pytest.mark.parametrize("hf_repo,template_override", [ + ("bartowski/c4ai-command-r7b-12-2024-GGUF:Q4_K_M", ("CohereForAI/c4ai-command-r7b-12-2024", "tool_use")), ("bartowski/Meta-Llama-3.1-8B-Instruct-GGUF:Q4_K_M", None), - ("bartowski/gemma-2-2b-it-GGUF:Q4_K_M", None), + ("bartowski/Meta-Llama-3.1-8B-Instruct-GGUF:Q4_K_M", "chatml"), + ("bartowski/Phi-3.5-mini-instruct-GGUF:Q4_K_M", None), + ("bartowski/Phi-3.5-mini-instruct-GGUF:Q4_K_M", "chatml"), + ("bartowski/Qwen2.5-7B-Instruct-GGUF:Q4_K_M", None), - ("bartowski/Hermes-2-Pro-Llama-3-8B-GGUF:Q4_K_M", ("NousResearch/Hermes-2-Pro-Llama-3-8B", "tool_use")), - ("bartowski/Hermes-3-Llama-3.1-8B-GGUF:Q4_K_M", ("NousResearch/Hermes-3-Llama-3.1-8B", "tool_use")), + ("bartowski/Qwen2.5-7B-Instruct-GGUF:Q4_K_M", "chatml"), + + ("bartowski/Hermes-2-Pro-Llama-3-8B-GGUF:Q4_K_M", ("NousResearch/Hermes-2-Pro-Llama-3-8B", "tool_use")), + ("bartowski/Hermes-2-Pro-Llama-3-8B-GGUF:Q4_K_M", "chatml"), + + ("bartowski/Hermes-3-Llama-3.1-8B-GGUF:Q4_K_M", ("NousResearch/Hermes-3-Llama-3.1-8B", "tool_use")), + ("bartowski/Hermes-3-Llama-3.1-8B-GGUF:Q4_K_M", "chatml"), + ("bartowski/Mistral-Nemo-Instruct-2407-GGUF:Q4_K_M", None), + ("bartowski/Mistral-Nemo-Instruct-2407-GGUF:Q4_K_M", "chatml"), + ("bartowski/functionary-small-v3.2-GGUF:Q8_0", ("meetkai/functionary-medium-v3.2", None)), + ("bartowski/functionary-small-v3.2-GGUF:Q8_0", "chatml"), + ("bartowski/Llama-3.2-3B-Instruct-GGUF:Q4_K_M", ("meta-llama/Llama-3.2-3B-Instruct", None)), + ("bartowski/Llama-3.2-3B-Instruct-GGUF:Q4_K_M", "chatml"), + + # Note: gemma-2-2b-it knows itself as "model", not "assistant", so we don't test the ill-suited chatml on it. + ("bartowski/gemma-2-2b-it-GGUF:Q4_K_M", None), + # ("bartowski/Llama-3.2-1B-Instruct-GGUF:Q4_K_M", ("meta-llama/Llama-3.2-3B-Instruct", None)), # ("bartowski/DeepSeek-R1-Distill-Qwen-7B-GGUF:Q4_K_M", None), ]) -def test_weather_tool_call(hf_repo: str, template_override: Tuple[str, str | None] | None): +def test_weather(hf_repo: str, template_override: Tuple[str, str | None] | None): global server + n_predict = 512 server.n_slots = 1 server.jinja = True server.n_ctx = 8192 - server.n_predict = 512 + server.n_predict = n_predict server.model_hf_repo = hf_repo server.model_hf_file = None - if template_override: + if isinstance(template_override, tuple): (template_hf_repo, template_variant) = template_override server.chat_template_file = f"../../../models/templates/{template_hf_repo.replace('/', '-') + ('-' + template_variant if template_variant else '')}.jinja" assert os.path.exists(server.chat_template_file), f"Template file {server.chat_template_file} does not exist. Run `python scripts/get_chat_template.py {template_hf_repo} {template_variant} > {server.chat_template_file}` to download the template." + elif isinstance(template_override, str): + server.chat_template = template_override server.start(timeout_seconds=TIMEOUT_SERVER_START) res = server.make_request("POST", "/chat/completions", data={ - "max_tokens": 256, + "max_tokens": n_predict, "messages": [ {"role": "user", "content": "What is the weather in Istanbul?"}, ], @@ -298,19 +342,39 @@ def test_weather_tool_call(hf_repo: str, template_override: Tuple[str, str | Non @pytest.mark.slow @pytest.mark.parametrize("expected_arguments_override,hf_repo,template_override", [ - (None, "bartowski/gemma-2-2b-it-GGUF:Q4_K_M", None), (None, "bartowski/Phi-3.5-mini-instruct-GGUF:Q4_K_M", None), + (None, "bartowski/Phi-3.5-mini-instruct-GGUF:Q4_K_M", "chatml"), + (None, "bartowski/functionary-small-v3.2-GGUF:Q8_0", ("meetkai-functionary-medium-v3.2", None)), - ('{"code":"print("}', "bartowski/Meta-Llama-3.1-8B-Instruct-GGUF:Q4_K_M", None), - (None, "bartowski/Llama-3.2-1B-Instruct-GGUF:Q4_K_M", ("meta-llama-Llama-3.2-3B-Instruct", None)), + (None, "bartowski/functionary-small-v3.2-GGUF:Q8_0", "chatml"), + + (None, "bartowski/Meta-Llama-3.1-8B-Instruct-GGUF:Q4_K_M", None), + ('{"code":"print("}', "bartowski/Meta-Llama-3.1-8B-Instruct-GGUF:Q4_K_M", "chatml"), + + ('{"code":"print("}', "bartowski/Llama-3.2-1B-Instruct-GGUF:Q4_K_M", ("meta-llama-Llama-3.2-3B-Instruct", None)), + (None, "bartowski/Llama-3.2-1B-Instruct-GGUF:Q4_K_M", "chatml"), + ('{"code":"print("}', "bartowski/Llama-3.2-3B-Instruct-GGUF:Q4_K_M", ("meta-llama-Llama-3.2-3B-Instruct", None)), + ('{"code":"print("}', "bartowski/Llama-3.2-3B-Instruct-GGUF:Q4_K_M", "chatml"), + (None, "bartowski/Qwen2.5-7B-Instruct-GGUF:Q4_K_M", None), - (None, "bartowski/Hermes-2-Pro-Llama-3-8B-GGUF:Q4_K_M", ("NousResearch/Hermes-2-Pro-Llama-3-8B", "tool_use")), - (None, "bartowski/Hermes-3-Llama-3.1-8B-GGUF:Q4_K_M", ("NousResearch-Hermes-3-Llama-3.1-8B", "tool_use")), + (None, "bartowski/Qwen2.5-7B-Instruct-GGUF:Q4_K_M", "chatml"), + + (None, "bartowski/Hermes-2-Pro-Llama-3-8B-GGUF:Q4_K_M", ("NousResearch/Hermes-2-Pro-Llama-3-8B", "tool_use")), + (None, "bartowski/Hermes-2-Pro-Llama-3-8B-GGUF:Q4_K_M", "chatml"), + + (None, "bartowski/Hermes-3-Llama-3.1-8B-GGUF:Q4_K_M", ("NousResearch-Hermes-3-Llama-3.1-8B", "tool_use")), + (None, "bartowski/Hermes-3-Llama-3.1-8B-GGUF:Q4_K_M", "chatml"), + (None, "bartowski/Mistral-Nemo-Instruct-2407-GGUF:Q4_K_M", None), + (None, "bartowski/Mistral-Nemo-Instruct-2407-GGUF:Q4_K_M", "chatml"), + + # Note: gemma-2-2b-it knows itself as "model", not "assistant", so we don't test the ill-suited chatml on it. + (None, "bartowski/gemma-2-2b-it-GGUF:Q4_K_M", None), + # (None, "bartowski/DeepSeek-R1-Distill-Qwen-7B-GGUF:Q4_K_M", None), ]) -def test_hello_world_tool_call(expected_arguments_override: str | None, hf_repo: str, template_override: Tuple[str, str | None] | None): +def test_hello_world_tool_call(expected_arguments_override: str | None, hf_repo: str, template_override: str | Tuple[str, str | None] | None): global server server.n_slots = 1 server.jinja = True @@ -318,10 +382,12 @@ def test_hello_world_tool_call(expected_arguments_override: str | None, hf_repo: server.n_predict = 128 server.model_hf_repo = hf_repo server.model_hf_file = None - if template_override: + if isinstance(template_override, tuple): (template_hf_repo, template_variant) = template_override server.chat_template_file = f"../../../models/templates/{template_hf_repo.replace('/', '-') + ('-' + template_variant if template_variant else '')}.jinja" assert os.path.exists(server.chat_template_file), f"Template file {server.chat_template_file} does not exist. Run `python scripts/get_chat_template.py {template_hf_repo} {template_variant} > {server.chat_template_file}` to download the template." + elif isinstance(template_override, str): + server.chat_template = template_override server.start(timeout_seconds=TIMEOUT_SERVER_START) res = server.make_request("POST", "/chat/completions", data={ "max_tokens": 256, diff --git a/examples/server/utils.hpp b/examples/server/utils.hpp index bfe623c4c..5f97df5fd 100644 --- a/examples/server/utils.hpp +++ b/examples/server/utils.hpp @@ -5,10 +5,6 @@ #include "llama.h" #include "common/base64.hpp" -#ifndef NDEBUG -// crash the server in debug mode, otherwise send an http 500 error -#define CPPHTTPLIB_NO_EXCEPTIONS 1 -#endif // increase max payload length to allow use of larger context size #define CPPHTTPLIB_FORM_URL_ENCODED_PAYLOAD_MAX_LENGTH 1048576 #include "httplib.h" @@ -662,6 +658,7 @@ static json oaicompat_completion_params_parse( }); } llama_params["grammar_triggers"] = grammar_triggers; + llama_params["preserved_tokens"] = chat_params.preserved_tokens; for (const auto & stop : chat_params.additional_stops) { llama_params["stop"].push_back(stop); } diff --git a/examples/server/webui/.gitignore b/examples/server/webui/.gitignore new file mode 100644 index 000000000..a547bf36d --- /dev/null +++ b/examples/server/webui/.gitignore @@ -0,0 +1,24 @@ +# Logs +logs +*.log +npm-debug.log* +yarn-debug.log* +yarn-error.log* +pnpm-debug.log* +lerna-debug.log* + +node_modules +dist +dist-ssr +*.local + +# Editor directories and files +.vscode/* +!.vscode/extensions.json +.idea +.DS_Store +*.suo +*.ntvs* +*.njsproj +*.sln +*.sw? diff --git a/examples/server/webui/.prettierignore b/examples/server/webui/.prettierignore new file mode 100644 index 000000000..c0cb165b3 --- /dev/null +++ b/examples/server/webui/.prettierignore @@ -0,0 +1,10 @@ +**/.vscode +**/.github +**/.git +**/.svn +**/.hg +**/node_modules +**/dist +**/build + +*.config.js diff --git a/examples/server/webui/eslint.config.js b/examples/server/webui/eslint.config.js new file mode 100644 index 000000000..7c0d39b89 --- /dev/null +++ b/examples/server/webui/eslint.config.js @@ -0,0 +1,26 @@ +import js from '@eslint/js' +import globals from 'globals' +import reactHooks from 'eslint-plugin-react-hooks' +import reactRefresh from 'eslint-plugin-react-refresh' +import tseslint from 'typescript-eslint' + +export default tseslint.config( + { ignores: ['dist'] }, + { + extends: [js.configs.recommended, ...tseslint.configs.recommended], + files: ['**/*.{ts,tsx}'], + languageOptions: { + ecmaVersion: 2020, + globals: globals.browser, + }, + plugins: { + 'react-hooks': reactHooks, + 'react-refresh': reactRefresh, + }, + rules: { + ...reactHooks.configs.recommended.rules, + 'react-refresh/only-export-components': 'off', + '@typescript-eslint/no-unused-vars': 'off', + }, + }, +) diff --git a/examples/server/webui/index.html b/examples/server/webui/index.html index d3893ea4e..471f46b3a 100644 --- a/examples/server/webui/index.html +++ b/examples/server/webui/index.html @@ -1,343 +1,16 @@ - + - - - - - 🦙 llama.cpp - chat - - - -
-
- - - -
- -
-
-

Conversations

- - - -
- - -
- + New conversation -
-
- {{ conv.messages[0].content }} -
-
- Conversations are saved to browser's localStorage -
-
-
- - -
- -
- - - -
llama.cpp
- - -
-
- - - - -
-
- -
- - -
-
-
- - - -
-
    -
  • - -
    • -
  • - -
    • -
-
-
-
-
- - -
-
- - {{ messages.length === 0 ? 'Send a message to start' : '' }} -
-
- -
- - -
- -
-
- - -
- - - -
-
- -
- - - - -
-

Settings

-
-

Settings below are saved in browser's localStorage

- - - - - -
- Other sampler settings -
- - - - -
-
- -
- Penalties settings -
- -
-
- -
- Reasoning models -
-
- - Expand though process by default for generating message -
-
- - Exclude thought process when sending request to API (Recommended for DeepSeek-R1) -
-
-
- -
- Advanced config -
-
- - -
-
- - Show tokens per second -
- -
-
-
- - -
- - - -
-
- - -
- - - - - - - - - - - - + + + + + 🦙 llama.cpp - chat + + +
+ + diff --git a/examples/server/webui/package-lock.json b/examples/server/webui/package-lock.json index bbebccbf2..e69fd2aa5 100644 --- a/examples/server/webui/package-lock.json +++ b/examples/server/webui/package-lock.json @@ -14,16 +14,36 @@ "daisyui": "^4.12.14", "highlight.js": "^11.10.0", "katex": "^0.16.15", - "markdown-it": "^14.1.0", "postcss": "^8.4.49", + "react": "^18.3.1", + "react-dom": "^18.3.1", + "react-markdown": "^9.0.3", + "react-router": "^7.1.5", + "rehype-highlight": "^7.0.2", + "rehype-katex": "^7.0.1", + "remark-breaks": "^4.0.0", + "remark-gfm": "^4.0.0", + "remark-math": "^6.0.0", "tailwindcss": "^3.4.15", "textlinestream": "^1.1.1", - "vite-plugin-singlefile": "^2.0.3", - "vue": "^3.5.13" + "vite-plugin-singlefile": "^2.0.3" }, "devDependencies": { - "sass-embedded": "^1.83.0", - "vite": "^5.4.10" + "@eslint/js": "^9.17.0", + "@types/markdown-it": "^14.1.2", + "@types/node": "^22.13.1", + "@types/react": "^18.3.18", + "@types/react-dom": "^18.3.5", + 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"^18.3.1", + "react-dom": "^18.3.1", + "react-markdown": "^9.0.3", + "react-router": "^7.1.5", + "rehype-highlight": "^7.0.2", + "rehype-katex": "^7.0.1", + "remark-breaks": "^4.0.0", + "remark-gfm": "^4.0.0", + "remark-math": "^6.0.0", "tailwindcss": "^3.4.15", "textlinestream": "^1.1.1", - "vite-plugin-singlefile": "^2.0.3", - "vue": "^3.5.13" + "vite-plugin-singlefile": "^2.0.3" + }, + "devDependencies": { + "@eslint/js": "^9.17.0", + "@types/markdown-it": "^14.1.2", + "@types/node": "^22.13.1", + "@types/react": "^18.3.18", + "@types/react-dom": "^18.3.5", + "@vitejs/plugin-react": "^4.3.4", + "eslint": "^9.17.0", + "eslint-plugin-react-hooks": "^5.0.0", + "eslint-plugin-react-refresh": "^0.4.16", + "globals": "^15.14.0", + "prettier": "^3.4.2", + "sass-embedded": "^1.83.4", + "typescript": "~5.6.2", + "typescript-eslint": "^8.18.2", + "vite": "^6.0.5" + }, + "prettier": { + "trailingComma": "es5", + "tabWidth": 2, + "semi": true, + "singleQuote": true, + "bracketSameLine": false } } diff --git a/examples/server/webui/public/demo-conversation.json b/examples/server/webui/public/demo-conversation.json index 75ab599dd..338b4aea5 100644 --- a/examples/server/webui/public/demo-conversation.json +++ b/examples/server/webui/public/demo-conversation.json @@ -11,7 +11,7 @@ { "id": 1734087548327, "role": "assistant", - "content": "This is the formula:\n\n$\\frac{e^{x_i}}{\\sum_{j=1}^{n}e^{x_j}}$\n\nGiven an input vector \\(\\mathbf{x} = [x_1, x_2, \\ldots, x_n]\\)\n\n\\[\ny_i = \\frac{e^{x_i}}{\\sum_{j=1}^n e^{x_j}}\n\\]\n\nCode block latex:\n```latex\n\\frac{e^{x_i}}{\\sum_{j=1}^{n}e^{x_j}}\n```\n\nTest dollar sign: $1234 $4567\n\nInvalid latex syntax: $E = mc^$ and $$E = mc^$$", + "content": "This is the formula:\n\n$\\frac{e^{x_i}}{\\sum_{j=1}^{n}e^{x_j}}$\n\nGiven an input vector \\(\\mathbf{x} = [x_1, x_2, \\ldots, x_n]\\)\n\n\\[\ny_i = \\frac{e^{x_i}}{\\sum_{j=1}^n e^{x_j}}\n\\]\n\n$2x + y = z$\n\nCode block latex:\n```latex\n\\frac{e^{x_i}}{\\sum_{j=1}^{n}e^{x_j}}\n```\n\nTest dollar sign: $1234 $4567\n\nInvalid latex syntax: $E = mc^$ and $$E = mc^$$", "timings": { "prompt_n": 1, "prompt_ms": 28.923, diff --git a/examples/server/webui/src/App.tsx b/examples/server/webui/src/App.tsx new file mode 100644 index 000000000..d151ba291 --- /dev/null +++ b/examples/server/webui/src/App.tsx @@ -0,0 +1,36 @@ +import { HashRouter, Outlet, Route, Routes } from 'react-router'; +import Header from './components/Header'; +import Sidebar from './components/Sidebar'; +import { AppContextProvider } from './utils/app.context'; +import ChatScreen from './components/ChatScreen'; + +function App() { + return ( + +
+ + + }> + } /> + } /> + + + +
+ + ); +} + +function AppLayout() { + return ( + <> + +
+
+ +
+ + ); +} + +export default App; diff --git a/examples/server/webui/src/Config.ts b/examples/server/webui/src/Config.ts new file mode 100644 index 000000000..1860ffcc9 --- /dev/null +++ b/examples/server/webui/src/Config.ts @@ -0,0 +1,89 @@ +import daisyuiThemes from 'daisyui/src/theming/themes'; +import { isNumeric } from './utils/misc'; + +export const isDev = import.meta.env.MODE === 'development'; + +// constants +export const BASE_URL = new URL('.', document.baseURI).href + .toString() + .replace(/\/$/, ''); + +export const CONFIG_DEFAULT = { + // Note: in order not to introduce breaking changes, please keep the same data type (number, string, etc) if you want to change the default value. Do not use null or undefined for default value. + apiKey: '', + systemMessage: 'You are a helpful assistant.', + showTokensPerSecond: false, + showThoughtInProgress: false, + excludeThoughtOnReq: true, + // make sure these default values are in sync with `common.h` + samplers: 'edkypmxt', + temperature: 0.8, + dynatemp_range: 0.0, + dynatemp_exponent: 1.0, + top_k: 40, + top_p: 0.95, + min_p: 0.05, + xtc_probability: 0.0, + xtc_threshold: 0.1, + typical_p: 1.0, + repeat_last_n: 64, + repeat_penalty: 1.0, + presence_penalty: 0.0, + frequency_penalty: 0.0, + dry_multiplier: 0.0, + dry_base: 1.75, + dry_allowed_length: 2, + dry_penalty_last_n: -1, + max_tokens: -1, + custom: '', // custom json-stringified object +}; +export const CONFIG_INFO: Record = { + apiKey: 'Set the API Key if you are using --api-key option for the server.', + systemMessage: 'The starting message that defines how model should behave.', + samplers: + 'The order at which samplers are applied, in simplified way. Default is "dkypmxt": dry->top_k->typ_p->top_p->min_p->xtc->temperature', + temperature: + 'Controls the randomness of the generated text by affecting the probability distribution of the output tokens. Higher = more random, lower = more focused.', + dynatemp_range: + 'Addon for the temperature sampler. The added value to the range of dynamic temperature, which adjusts probabilities by entropy of tokens.', + dynatemp_exponent: + 'Addon for the temperature sampler. Smoothes out the probability redistribution based on the most probable token.', + top_k: 'Keeps only k top tokens.', + top_p: + 'Limits tokens to those that together have a cumulative probability of at least p', + min_p: + 'Limits tokens based on the minimum probability for a token to be considered, relative to the probability of the most likely token.', + xtc_probability: + 'XTC sampler cuts out top tokens; this parameter controls the chance of cutting tokens at all. 0 disables XTC.', + xtc_threshold: + 'XTC sampler cuts out top tokens; this parameter controls the token probability that is required to cut that token.', + typical_p: + 'Sorts and limits tokens based on the difference between log-probability and entropy.', + repeat_last_n: 'Last n tokens to consider for penalizing repetition', + repeat_penalty: + 'Controls the repetition of token sequences in the generated text', + presence_penalty: + 'Limits tokens based on whether they appear in the output or not.', + frequency_penalty: + 'Limits tokens based on how often they appear in the output.', + dry_multiplier: + 'DRY sampling reduces repetition in generated text even across long contexts. This parameter sets the DRY sampling multiplier.', + dry_base: + 'DRY sampling reduces repetition in generated text even across long contexts. This parameter sets the DRY sampling base value.', + dry_allowed_length: + 'DRY sampling reduces repetition in generated text even across long contexts. This parameter sets the allowed length for DRY sampling.', + dry_penalty_last_n: + 'DRY sampling reduces repetition in generated text even across long contexts. This parameter sets DRY penalty for the last n tokens.', + max_tokens: 'The maximum number of token per output.', + custom: '', // custom json-stringified object +}; +// config keys having numeric value (i.e. temperature, top_k, top_p, etc) +export const CONFIG_NUMERIC_KEYS = Object.entries(CONFIG_DEFAULT) + .filter((e) => isNumeric(e[1])) + .map((e) => e[0]); +// list of themes supported by daisyui +export const THEMES = ['light', 'dark'] + // make sure light & dark are always at the beginning + .concat( + Object.keys(daisyuiThemes).filter((t) => t !== 'light' && t !== 'dark') + ); diff --git a/examples/server/webui/src/components/ChatMessage.tsx b/examples/server/webui/src/components/ChatMessage.tsx new file mode 100644 index 000000000..01d2fb80c --- /dev/null +++ b/examples/server/webui/src/components/ChatMessage.tsx @@ -0,0 +1,229 @@ +import { useMemo, useState } from 'react'; +import { useAppContext } from '../utils/app.context'; +import { Message, PendingMessage } from '../utils/types'; +import { classNames } from '../utils/misc'; +import MarkdownDisplay, { CopyButton } from './MarkdownDisplay'; + +interface SplitMessage { + content: PendingMessage['content']; + thought?: string; + isThinking?: boolean; +} + +export default function ChatMessage({ + msg, + id, + scrollToBottom, + isPending, +}: { + msg: Message | PendingMessage; + id?: string; + scrollToBottom: (requiresNearBottom: boolean) => void; + isPending?: boolean; +}) { + const { viewingConversation, replaceMessageAndGenerate, config } = + useAppContext(); + const [editingContent, setEditingContent] = useState(null); + const timings = useMemo( + () => + msg.timings + ? { + ...msg.timings, + prompt_per_second: + (msg.timings.prompt_n / msg.timings.prompt_ms) * 1000, + predicted_per_second: + (msg.timings.predicted_n / msg.timings.predicted_ms) * 1000, + } + : null, + [msg.timings] + ); + + // for reasoning model, we split the message into content and thought + // TODO: implement this as remark/rehype plugin in the future + const { content, thought, isThinking }: SplitMessage = useMemo(() => { + if (msg.content === null || msg.role !== 'assistant') { + return { content: msg.content }; + } + let actualContent = ''; + let thought = ''; + let isThinking = false; + let thinkSplit = msg.content.split('', 2); + actualContent += thinkSplit[0]; + while (thinkSplit[1] !== undefined) { + // tag found + thinkSplit = thinkSplit[1].split('', 2); + thought += thinkSplit[0]; + isThinking = true; + if (thinkSplit[1] !== undefined) { + // closing tag found + isThinking = false; + thinkSplit = thinkSplit[1].split('', 2); + actualContent += thinkSplit[0]; + } + } + return { content: actualContent, thought, isThinking }; + }, [msg]); + + if (!viewingConversation) return null; + + const regenerate = async () => { + replaceMessageAndGenerate(viewingConversation.id, msg.id, undefined, () => + scrollToBottom(true) + ); + }; + + return ( +
+
+
+ {/* textarea for editing message */} + {editingContent !== null && ( + <> + +
+ + + + )} + {/* not editing content, render message */} + {editingContent === null && ( + <> + {content === null ? ( + <> + {/* show loading dots for pending message */} + + + ) : ( + <> + {/* render message as markdown */} +
+ {thought && ( +
+ + {isPending && isThinking ? ( + + + Thinking + + ) : ( + Thought Process + )} + +
+ +
+
+ )} + +
+ + )} + {/* render timings if enabled */} + {timings && config.showTokensPerSecond && ( +
+
+ Speed: {timings.predicted_per_second.toFixed(1)} t/s +
+
+ Prompt +
- Tokens: {timings.prompt_n} +
- Time: {timings.prompt_ms} ms +
- Speed: {timings.prompt_per_second.toFixed(1)} t/s +
+ Generation +
- Tokens: {timings.predicted_n} +
- Time: {timings.predicted_ms} ms +
- Speed: {timings.predicted_per_second.toFixed(1)} t/s +
+
+
+ )} + + )} +
+
+ + {/* actions for each message */} + {msg.content !== null && ( +
+ {/* user message */} + {msg.role === 'user' && ( + + )} + {/* assistant message */} + {msg.role === 'assistant' && ( + <> + {!isPending && ( + + )} + + + )} +
+ )} +
+ ); +} diff --git a/examples/server/webui/src/components/ChatScreen.tsx b/examples/server/webui/src/components/ChatScreen.tsx new file mode 100644 index 000000000..d679f4ebb --- /dev/null +++ b/examples/server/webui/src/components/ChatScreen.tsx @@ -0,0 +1,123 @@ +import { useEffect, useRef, useState } from 'react'; +import { useAppContext } from '../utils/app.context'; +import StorageUtils from '../utils/storage'; +import { useNavigate } from 'react-router'; +import ChatMessage from './ChatMessage'; +import { PendingMessage } from '../utils/types'; + +export default function ChatScreen() { + const { + viewingConversation, + sendMessage, + isGenerating, + stopGenerating, + pendingMessages, + } = useAppContext(); + const [inputMsg, setInputMsg] = useState(''); + const containerRef = useRef(null); + const navigate = useNavigate(); + + const currConvId = viewingConversation?.id ?? ''; + const pendingMsg: PendingMessage | undefined = pendingMessages[currConvId]; + + const scrollToBottom = (requiresNearBottom: boolean) => { + if (!containerRef.current) return; + const msgListElem = containerRef.current; + const spaceToBottom = + msgListElem.scrollHeight - + msgListElem.scrollTop - + msgListElem.clientHeight; + if (!requiresNearBottom || spaceToBottom < 50) { + setTimeout( + () => msgListElem.scrollTo({ top: msgListElem.scrollHeight }), + 1 + ); + } + }; + + // scroll to bottom when conversation changes + useEffect(() => { + scrollToBottom(false); + }, [viewingConversation?.id]); + + const sendNewMessage = async () => { + if (inputMsg.trim().length === 0 || isGenerating(currConvId)) return; + const convId = viewingConversation?.id ?? StorageUtils.getNewConvId(); + const lastInpMsg = inputMsg; + setInputMsg(''); + if (!viewingConversation) { + // if user is creating a new conversation, redirect to the new conversation + navigate(`/chat/${convId}`); + } + scrollToBottom(false); + // auto scroll as message is being generated + const onChunk = () => scrollToBottom(true); + if (!(await sendMessage(convId, inputMsg, onChunk))) { + // restore the input message if failed + setInputMsg(lastInpMsg); + } + }; + + return ( + <> + {/* chat messages */} +
+
+ {/* placeholder to shift the message to the bottom */} + {viewingConversation ? '' : 'Send a message to start'} +
+ {viewingConversation?.messages.map((msg) => ( + + ))} + + {pendingMsg && ( + + )} +
+ + {/* chat input */} +
+ + {isGenerating(currConvId) ? ( + + ) : ( + + )} +
+ + ); +} diff --git a/examples/server/webui/src/components/Header.tsx b/examples/server/webui/src/components/Header.tsx new file mode 100644 index 000000000..015264abc --- /dev/null +++ b/examples/server/webui/src/components/Header.tsx @@ -0,0 +1,182 @@ +import { useEffect, useState } from 'react'; +import StorageUtils from '../utils/storage'; +import { useAppContext } from '../utils/app.context'; +import { classNames } from '../utils/misc'; +import daisyuiThemes from 'daisyui/src/theming/themes'; +import { THEMES } from '../Config'; +import { useNavigate } from 'react-router'; +import SettingDialog from './SettingDialog'; + +export default function Header() { + const navigate = useNavigate(); + const [selectedTheme, setSelectedTheme] = useState(StorageUtils.getTheme()); + const [showSettingDialog, setShowSettingDialog] = useState(false); + + const setTheme = (theme: string) => { + StorageUtils.setTheme(theme); + setSelectedTheme(theme); + }; + + useEffect(() => { + document.body.setAttribute('data-theme', selectedTheme); + document.body.setAttribute( + 'data-color-scheme', + // @ts-expect-error daisyuiThemes complains about index type, but it should work + daisyuiThemes[selectedTheme]?.['color-scheme'] ?? 'auto' + ); + }, [selectedTheme]); + + const { isGenerating, viewingConversation } = useAppContext(); + const isCurrConvGenerating = isGenerating(viewingConversation?.id ?? ''); + + const removeConversation = () => { + if (isCurrConvGenerating || !viewingConversation) return; + const convId = viewingConversation.id; + if (window.confirm('Are you sure to delete this conversation?')) { + StorageUtils.remove(convId); + navigate('/'); + } + }; + + const downloadConversation = () => { + if (isCurrConvGenerating || !viewingConversation) return; + const convId = viewingConversation.id; + const conversationJson = JSON.stringify(viewingConversation, null, 2); + const blob = new Blob([conversationJson], { type: 'application/json' }); + const url = URL.createObjectURL(blob); + const a = document.createElement('a'); + a.href = url; + a.download = `conversation_${convId}.json`; + document.body.appendChild(a); + a.click(); + document.body.removeChild(a); + URL.revokeObjectURL(url); + }; + + return ( +
+ {/* open sidebar button */} + + +
llama.cpp
+ + {/* action buttons (top right) */} +
+
+ {/* "..." button */} + + {/* dropdown menu */} + +
+
+ +
+ + {/* theme controller is copied from https://daisyui.com/components/theme-controller/ */} +
+
+
+ + + +
+
    +
  • + +
    • + {THEMES.map((theme) => ( +
  • + e.target.checked && setTheme(theme)} + /> +
    • + ))} +
+
+
+
+ + setShowSettingDialog(false)} + /> +
+ ); +} diff --git a/examples/server/webui/src/components/MarkdownDisplay.tsx b/examples/server/webui/src/components/MarkdownDisplay.tsx new file mode 100644 index 000000000..8ab8de655 --- /dev/null +++ b/examples/server/webui/src/components/MarkdownDisplay.tsx @@ -0,0 +1,254 @@ +import React, { useMemo, useState } from 'react'; +import Markdown, { ExtraProps } from 'react-markdown'; +import remarkGfm from 'remark-gfm'; +import rehypeHightlight from 'rehype-highlight'; +import rehypeKatex from 'rehype-katex'; +import remarkMath from 'remark-math'; +import remarkBreaks from 'remark-breaks'; +import 'katex/dist/katex.min.css'; +import { classNames, copyStr } from '../utils/misc'; +import { ElementContent, Root } from 'hast'; +import { visit } from 'unist-util-visit'; + +export default function MarkdownDisplay({ content }: { content: string }) { + const preprocessedContent = useMemo( + () => preprocessLaTeX(content), + [content] + ); + return ( + ( + + ), + }} + > + {preprocessedContent} + + ); +} + +const CopyCodeButton: React.ElementType< + React.ClassAttributes & + React.HTMLAttributes & + ExtraProps & { origContent: string } +> = ({ node, origContent }) => { + const startOffset = node?.position?.start.offset ?? 0; + const endOffset = node?.position?.end.offset ?? 0; + + const copiedContent = useMemo( + () => + origContent + .substring(startOffset, endOffset) + .replace(/^```[^\n]+\n/g, '') + .replace(/```$/g, ''), + [origContent, startOffset, endOffset] + ); + + return ( +
+ +
+ ); +}; + +export const CopyButton = ({ + content, + className, +}: { + content: string; + className?: string; +}) => { + const [copied, setCopied] = useState(false); + return ( + + ); +}; + +/** + * This injects the "button" element before each "pre" element. + * The actual button will be replaced with a react component in the MarkdownDisplay. + * We don't replace "pre" node directly because it will cause the node to re-render, which causes this bug: https://github.com/ggerganov/llama.cpp/issues/9608 + */ +function rehypeCustomCopyButton() { + return function (tree: Root) { + visit(tree, 'element', function (node) { + if (node.tagName === 'pre' && !node.properties.visited) { + const preNode = { ...node }; + // replace current node + preNode.properties.visited = 'true'; + node.tagName = 'div'; + node.properties = { + className: 'relative my-4', + }; + // add node for button + const btnNode: ElementContent = { + type: 'element', + tagName: 'button', + properties: {}, + children: [], + position: node.position, + }; + node.children = [btnNode, preNode]; + } + }); + }; +} + +/** + * The part below is copied and adapted from: + * https://github.com/danny-avila/LibreChat/blob/main/client/src/utils/latex.ts + * (MIT License) + */ + +// Regex to check if the processed content contains any potential LaTeX patterns +const containsLatexRegex = + /\\\(.*?\\\)|\\\[.*?\\\]|\$.*?\$|\\begin\{equation\}.*?\\end\{equation\}/; + +// Regex for inline and block LaTeX expressions +const inlineLatex = new RegExp(/\\\((.+?)\\\)/, 'g'); +const blockLatex = new RegExp(/\\\[(.*?[^\\])\\\]/, 'gs'); + +// Function to restore code blocks +const restoreCodeBlocks = (content: string, codeBlocks: string[]) => { + return content.replace( + /<>/g, + (_, index) => codeBlocks[index] + ); +}; + +// Regex to identify code blocks and inline code +const codeBlockRegex = /(```[\s\S]*?```|`.*?`)/g; + +export const processLaTeX = (_content: string) => { + let content = _content; + // Temporarily replace code blocks and inline code with placeholders + const codeBlocks: string[] = []; + let index = 0; + content = content.replace(codeBlockRegex, (match) => { + codeBlocks[index] = match; + return `<>`; + }); + + // Escape dollar signs followed by a digit or space and digit + let processedContent = content.replace(/(\$)(?=\s?\d)/g, '\\$'); + + // If no LaTeX patterns are found, restore code blocks and return the processed content + if (!containsLatexRegex.test(processedContent)) { + return restoreCodeBlocks(processedContent, codeBlocks); + } + + // Convert LaTeX expressions to a markdown compatible format + processedContent = processedContent + .replace(inlineLatex, (_: string, equation: string) => `$${equation}$`) // Convert inline LaTeX + .replace(blockLatex, (_: string, equation: string) => `$$${equation}$$`); // Convert block LaTeX + + // Restore code blocks + return restoreCodeBlocks(processedContent, codeBlocks); +}; + +/** + * Preprocesses LaTeX content by replacing delimiters and escaping certain characters. + * + * @param content The input string containing LaTeX expressions. + * @returns The processed string with replaced delimiters and escaped characters. + */ +export function preprocessLaTeX(content: string): string { + // Step 1: Protect code blocks + const codeBlocks: string[] = []; + content = content.replace(/(```[\s\S]*?```|`[^`\n]+`)/g, (_, code) => { + codeBlocks.push(code); + return `<>`; + }); + + // Step 2: Protect existing LaTeX expressions + const latexExpressions: string[] = []; + + // Protect block math ($$...$$), \[...\], and \(...\) as before. + content = content.replace( + /(\$\$[\s\S]*?\$\$|\\\[[\s\S]*?\\\]|\\\(.*?\\\))/g, + (match) => { + latexExpressions.push(match); + return `<>`; + } + ); + + // Protect inline math ($...$) only if it does NOT match a currency pattern. + // We assume a currency pattern is one where the inner content is purely numeric (with optional decimals). + content = content.replace(/\$([^$]+)\$/g, (match, inner) => { + if (/^\s*\d+(?:\.\d+)?\s*$/.test(inner)) { + // This looks like a currency value (e.g. "$123" or "$12.34"), + // so don't protect it. + return match; + } else { + // Otherwise, treat it as a LaTeX expression. + latexExpressions.push(match); + return `<>`; + } + }); + + // Step 3: Escape dollar signs that are likely currency indicators. + // (Now that inline math is protected, this will only escape dollars not already protected) + content = content.replace(/\$(?=\d)/g, '\\$'); + + // Step 4: Restore LaTeX expressions + content = content.replace( + /<>/g, + (_, index) => latexExpressions[parseInt(index)] + ); + + // Step 5: Restore code blocks + content = content.replace( + /<>/g, + (_, index) => codeBlocks[parseInt(index)] + ); + + // Step 6: Apply additional escaping functions + content = escapeBrackets(content); + content = escapeMhchem(content); + + return content; +} + +export function escapeBrackets(text: string): string { + const pattern = + /(```[\S\s]*?```|`.*?`)|\\\[([\S\s]*?[^\\])\\]|\\\((.*?)\\\)/g; + return text.replace( + pattern, + ( + match: string, + codeBlock: string | undefined, + squareBracket: string | undefined, + roundBracket: string | undefined + ): string => { + if (codeBlock != null) { + return codeBlock; + } else if (squareBracket != null) { + return `$$${squareBracket}$$`; + } else if (roundBracket != null) { + return `$${roundBracket}$`; + } + return match; + } + ); +} + +export function escapeMhchem(text: string) { + return text.replaceAll('$\\ce{', '$\\\\ce{').replaceAll('$\\pu{', '$\\\\pu{'); +} diff --git a/examples/server/webui/src/components/SettingDialog.tsx b/examples/server/webui/src/components/SettingDialog.tsx new file mode 100644 index 000000000..ae8117fd2 --- /dev/null +++ b/examples/server/webui/src/components/SettingDialog.tsx @@ -0,0 +1,306 @@ +import { useState } from 'react'; +import { useAppContext } from '../utils/app.context'; +import { CONFIG_DEFAULT, CONFIG_INFO } from '../Config'; +import { isDev } from '../Config'; +import StorageUtils from '../utils/storage'; + +type SettKey = keyof typeof CONFIG_DEFAULT; + +const COMMON_SAMPLER_KEYS: SettKey[] = [ + 'temperature', + 'top_k', + 'top_p', + 'min_p', + 'max_tokens', +]; +const OTHER_SAMPLER_KEYS: SettKey[] = [ + 'dynatemp_range', + 'dynatemp_exponent', + 'typical_p', + 'xtc_probability', + 'xtc_threshold', +]; +const PENALTY_KEYS: SettKey[] = [ + 'repeat_last_n', + 'repeat_penalty', + 'presence_penalty', + 'frequency_penalty', + 'dry_multiplier', + 'dry_base', + 'dry_allowed_length', + 'dry_penalty_last_n', +]; + +export default function SettingDialog({ + show, + onClose, +}: { + show: boolean; + onClose: () => void; +}) { + const { config, saveConfig } = useAppContext(); + + // clone the config object to prevent direct mutation + const [localConfig, setLocalConfig] = useState( + JSON.parse(JSON.stringify(config)) + ); + + const resetConfig = () => { + if (window.confirm('Are you sure to reset all settings?')) { + setLocalConfig(CONFIG_DEFAULT); + } + }; + + const handleSave = () => { + saveConfig(localConfig); + onClose(); + }; + + const debugImportDemoConv = async () => { + const res = await fetch('/demo-conversation.json'); + const demoConv = await res.json(); + StorageUtils.remove(demoConv.id); + for (const msg of demoConv.messages) { + StorageUtils.appendMsg(demoConv.id, msg); + } + onClose(); + }; + + return ( + +
+

Settings

+
+

+ Settings below are saved in browser's localStorage +

+ + + setLocalConfig({ ...localConfig, apiKey: value }) + } + /> + +