* Include speculative decoding stats when timings_per_token is true
New fields added to the `timings` object:
- draft_n : number of draft tokens generated
- draft_accepted_n : number of draft tokens accepted
- draft_accept_ratio: ratio of accepted/generated
* Remove redundant draft_accept_ratio var
* add draft acceptance rate to server console output
* rpc : send hash when tensor data is above some fixed threshold
ref #10095
* rpc : put cache under $HOME/.cache/llama.cpp
* try to fix win32 build
* another try to fix win32 build
* remove llama as dependency
* server : Bump cpp-httplib to include AF_UNIX windows support
Signed-off-by: Piotr Stankiewicz <piotr.stankiewicz@docker.com>
* server : Allow running the server example on a unix socket
Signed-off-by: Piotr Stankiewicz <piotr.stankiewicz@docker.com>
---------
Signed-off-by: Piotr Stankiewicz <piotr.stankiewicz@docker.com>
* [Fix] Compiling clip-quantize-cli and running it in a CUDA environment will cause ggml_fp16_to_fp32 to report an error when trying to access video memory. You need to switch to the CPU backend to run quantize.
After the fix, it will automatically run in the CPU backend and will no longer be bound to CUDA.
* [Fix]Roll back the signature and implementation of clip_model_load, and change the call in clip_model_quantize to clip_init.
Add verbose output to server_task_result_cmpl_final::to_json_oaicompat_chat_stream, making it conform with server_task_result_cmpl_final::to_json_oaicompat_chat, as well as the other to_json methods.
* webui: Make textarea uncontrolled to eliminate devastating lag
* Update index.html.gz
* use signal-style implementation
* rm console log
* no duplicated savedInitValue set
---------
Co-authored-by: Xuan Son Nguyen <son@huggingface.co>
* added -o option to specify an output file name
* llama-tts returns ENOENT in case of file write error
note : PR #12042 is closed as superseded with this one.
* Fix DOS index bug
* Remove new APIs
* remove extra line
* Remove from API
* Add extra newline
* Update examples/server/server.cpp
---------
Co-authored-by: Xuan-Son Nguyen <thichthat@gmail.com>
As discussed in PR 'llama-tts : add -o option' (#12042):
* common_params : 'out_file' string is the only output file name parameter left in common_params. It's intended to be used in all example programs implementing an '-o' option.
* cvector-generator, export-lora, imatrix : default output filenames moved from 'common_params' to the 'main()' of each example program.
* sampler: turn lazy grammar trigger words to regexes
* add scripts/tool_bench.sh & .py
* constrain llama json output regardless of function name if matches at beginning
* update relaxed newline space rule in grammar tests
* support add_generation_prompt query parameter (useful for /apply_template)
* Update src/llama-grammar.cpp
Co-authored-by: Georgi Gerganov <ggerganov@gmail.com>
---------
Co-authored-by: Georgi Gerganov <ggerganov@gmail.com>
The first kv shift offsets the positions of all tokens after head_c.
When using llama_kv_cache_seq_rm next, using head_c will remove the valid tokens because their positions have already been offset.
* llama : add xcframework build script
This commit adds a script to build an XCFramework for Apple
ios, macos, visionos, and tvos platforms.
The generated XCFramework can then be added to a project and used in
the same way as a regular framework. The llama.swiftui example project
has been updated to use the XCFramework and can be started using the
following command:
```console
$ open examples/llama.swiftui/llama.swiftui.xcodeproj/
```
Refs: https://github.com/ggml-org/llama.cpp/issues/10747
* examples : remove llama.cpp (source dir ref) from project.pbxproj
This commit removes the reference to llama.cpp from the project.pbxproj
file since Package.swift has been removed.
* ci : updated build.yml to use build-xcframework.sh
* ci : add xcframework build to github releases
This commit adds the ability to create a GitHub release with the
xcframework build artifact.
* scripts : add apple app validation scripts
This commit adds scripts that can validate the iOS, macOS, tvOS, and
VisionOS applications. The scripts create a simple test app project,
copy the llama.xcframework to the test project, build and archive the
app, create an IPA from the archive, and validate the IPA using altool.
The motivation for this is to provide some basic validation and
hopefully avoid having to manually validate apps in Xcode.
* llama : remove Package.swift
This commit removes the Package.swift file, as we are now building an
XCFramework for the project.
* llama : remove Sources and spm-headers directories
* llama : use TargetConditionals.h for visionOS/tvOS
* Add include files for std::min/max and std::toupper/tolower
* win32: move _USE_MATH_DEFINES before includes to ensure M_PI is defined
* Use GGML_RESTRICT instead of "restrict" keyword everywhere, and use "__restrict" in MSVC plain C mode
* win32: only use __restrict in MSVC if C11/C17 support is not enabled
---------
Co-authored-by: Marcus Groeber <Marcus.Groeber@cerence.com>
* Add chat template formatting to -no-cnv
* only enable prompt formatting if explicitly enabled
* add -st / --single-turn
* add --single-turn and -p in conversation mode
* fix -sys + -p
* reword warning
* small readability change and fix (long) outdated example usage
* only activate single turn in conversation mode
