Merge branch 'upstream' into concedo_experimental

# Conflicts:
#	Makefile
#	README.md
#	examples/server/CMakeLists.txt
#	ggml/src/CMakeLists.txt
This commit is contained in:
Concedo 2024-09-15 19:28:05 +08:00
commit ab41e324d6
6 changed files with 28 additions and 5 deletions

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@ -1487,7 +1487,7 @@ class StableLMModel(Model):
raise ValueError(f"Unprocessed norms: {norms}")
@Model.register("LlamaForCausalLM", "MistralForCausalLM", "MixtralForCausalLM")
@Model.register("LLaMAForCausalLM", "LlamaForCausalLM", "MistralForCausalLM", "MixtralForCausalLM")
class LlamaModel(Model):
model_arch = gguf.MODEL_ARCH.LLAMA

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@ -0,0 +1,12 @@
<!DOCTYPE html>
<html>
<head>
<meta http-equiv="refresh" content="5">
</head>
<body>
<div id="loading">
The model is loading. Please wait.<br/>
The user interface will appear soon.
</div>
</body>
</html>

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@ -29,6 +29,7 @@
#include "system-prompts.js.hpp"
#include "prompt-formats.js.hpp"
#include "json-schema-to-grammar.mjs.hpp"
#include "loading.html.hpp"
#include <atomic>
#include <chrono>
@ -2593,10 +2594,16 @@ int main(int argc, char ** argv) {
return false;
};
auto middleware_server_state = [&res_error, &state](const httplib::Request &, httplib::Response & res) {
auto middleware_server_state = [&res_error, &state](const httplib::Request & req, httplib::Response & res) {
server_state current_state = state.load();
if (current_state == SERVER_STATE_LOADING_MODEL) {
auto tmp = string_split(req.path, '.');
if (req.path == "/" || tmp.back() == "html") {
res.set_content(reinterpret_cast<const char*>(loading_html), loading_html_len, "text/html; charset=utf-8");
res.status = 503;
} else {
res_error(res, format_error_response("Loading model", ERROR_TYPE_UNAVAILABLE));
}
return false;
}
return true;
@ -2987,6 +2994,8 @@ int main(int argc, char ** argv) {
}, [&](json error_data) {
server_sent_event(sink, "error", error_data);
});
static const std::string ev_done = "data: [DONE]\n\n";
sink.write(ev_done.data(), ev_done.size());
sink.done();
return true;
};

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@ -1020,6 +1020,8 @@ async def oai_chat_completions(user_prompt,
event_data = line.split(': ', 1)
assert event_data[0] == 'data', f'Bad event code received: ```{event_data}```'
chunk_raw = event_data[1]
if chunk_raw == '[DONE]':
break
chunk = json.loads(chunk_raw)
assert len(chunk['choices']) == 1, f"no choices provided, line ```{line}```"

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@ -3419,7 +3419,7 @@ double ggml_type_sizef(enum ggml_type type) {
}
GGML_CALL const char * ggml_type_name(enum ggml_type type) {
return type_traits[type].type_name;
return type < GGML_TYPE_COUNT ? type_traits[type].type_name : "NONE";
}
GGML_CALL bool ggml_is_quantized(enum ggml_type type) {

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@ -15903,7 +15903,7 @@ static void llama_set_inputs(llama_context & lctx, const llama_ubatch & batch) {
// clear unused states
for (int i = 0; i < n_kv; ++i) {
uint32_t cell_id = i + kv_self.head;
const uint32_t cell_id = i + kv_self.head;
llama_kv_cell & kv_cell = lctx.kv_self.cells[cell_id];
data[i] = (float) (kv_cell.src >= 0);