212 lines
6.6 KiB
Markdown
212 lines
6.6 KiB
Markdown
# Changelog
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All notable changes to this project will be documented in this file.
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The format is based on [Keep a Changelog](https://keepachangelog.com/en/1.0.0/),
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and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0.html).
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## [Unreleased]
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## [0.2.8]
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- Update llama.cpp to ggerganov/llama.cpp@40e07a60f9ce06e79f3ccd4c903eba300fb31b5e
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- Add configurable chat formats by @abetlen in #711
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- Fix rope scaling bug by @Josh-XT in #767
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- Fix missing numa parameter in server by @abetlen in d9bce17794d0dd6f7962d10aad768fedecf3ab89
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## [0.2.7]
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- Update llama.cpp to ggerganov/llama.cpp@a98b1633d5a94d0aa84c7c16e1f8df5ac21fc850
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- Install required runtime dlls to package directory on windows by @abetlen in 8d75016549e2ff62a511b1119d966ffc0df5c77b
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- Add openai-processing-ms to server response header by @Tradunsky in #748
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- Bump minimum version of scikit-build-core to 0.5.1 to fix msvc cmake issue by @abetlen in 1ed0f3ebe16993a0f961155aa4b2c85f1c68f668
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- Update `llama_types.py` to better match the openai api, old names are aliased to new ones by @abetlen in dbca136feaaf7f8b1182c4c3c90c32918b1d0bb3
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## [0.2.6]
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- Update llama.cpp to 80291a1d02a07f7f66666fb576c5b1e75aa48b46
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## [0.2.5]
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- Fix docker images missing starlette-context dependency by @abetlen in 22917989003c5e67623d54ab45affa1e0e475410
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- Fix loading dll in Windows Isolation Containers by @abetlen in 847466562573191efa655753d9252f308c4fbdb0
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- Fix build issue on m1 macs by @abetlen in dbd3a6d1ed8416a8fd800127251e730153afa305
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- Update docs to gguf and add hw acceleration docs for server by @jasonacox in #688
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## [0.2.4]
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- Add NUMA support. **NOTE** low level api users must call llama_backend_init at the start of their programs by abetlen in f4090a0bb2a2a25acfe28d31c82cc1aa273bedee
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- Fix tensor_split server cli argument by @abetlen in c4c440ba2dc86d9de728a751311fdd1c8e3756fa
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- Made all `Llama` init parameters into keyword-only parameters by @abetlen in c8f9b8a734b5b040379bbd93995ba177affab1fe
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- Added server params for `low_vram`, `main_gpu`, `lora_base`, and `lora_path` by @abetlen in 2920c4bf7ee1412d6bba7846e0e1b7ef6d34043b
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- Removed server params for `rms_norm_eps` and `n_gqa` by @abetlen in 2920c4bf7ee1412d6bba7846e0e1b7ef6d34043b
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- Fix boolean cli options by @abetlen in c999325e8e4507f6c6249dd2fb8de7f8bf57f71e and 0449d29b9f940e437231a07b9d56550226558bac
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- Silence Pydantic Settings warnings about `model_alias` setting by @earonesty in #705
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## [0.2.3]
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- Update llama.cpp to ggerganov/llama.cpp@71ca2fad7d6c0ef95ef9944fb3a1a843e481f314
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- Add X-Request-ID request header for mirroring custom IDs by @devrimcavusoglu in #703
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- Add pyproject extra for scikit-build-core to ensure compatible pathspec version by @abetlen in 6cfc54284b99ef1bff8193e2d5e483dbd89ada02
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- Fix issue with Literal and Optional cli arguments not working by @abetlen in #702
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## [0.2.2]
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- Fix bug in pip install of v0.2.1 due to scikit-build-core removing all `.metal` files in the source distribution (see #701)
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## [0.2.1]
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- Fix bug in pip install of v0.2.0 due to .git folder being included in the source distribution (see #701)
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## [0.2.0]
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- Migrated to scikit-build-core build system by @abetlen in #499
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- Use `numpy` views for `LogitsProcessor` and `StoppingCriteria` instead of python lists by @abetlen in #499
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- Drop support for end-of-life Python3.7 by @abetlen in #499
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- Convert low level `llama.cpp` constants to use basic python types instead of `ctypes` types by @abetlen in #499
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## [0.1.85]
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- Add `llama_cpp.__version__` attribute by @janvdp in #684
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- Fix low level api examples by @jbochi in #680
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## [0.1.84]
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- Update llama.cpp
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## [0.1.83]
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- Update llama.cpp
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## [0.1.82]
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- Update llama.cpp
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## [0.1.81]
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- Update llama.cpp
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## [0.1.80]
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- Update llama.cpp
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## [0.1.79]
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- GGUF Support (breaking change requiring new model format)
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## [0.1.78]
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- Grammar based sampling via LlamaGrammar which can be passed to completions
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- Make n_gpu_layers == -1 offload all layers
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## [0.1.77]
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- (llama.cpp) Update llama.cpp add support for LLaMa 2 70B
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- (server) Add temporary n_gqa and rms_norm_eps parameters required for LLaMa 2 70B
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## [0.1.76]
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- (llama.cpp) Update llama.cpp add support for LLaMa 2 70B
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## [0.1.75]
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- Update llama.cpp
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## [0.1.74]
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- (server) OpenAI style error responses
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## [0.1.73]
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- (server) Add rope parameters to server settings
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## [0.1.72]
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- (llama.cpp) Update llama.cpp added custom_rope for extended context lengths
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## [0.1.71]
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- (llama.cpp) Update llama.cpp
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- (server) Fix several pydantic v2 migration bugs
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## [0.1.70]
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- (Llama.create_completion) Revert change so that `max_tokens` is not truncated to `context_size` in `create_completion`
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- (server) Fixed changed settings field names from pydantic v2 migration
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## [0.1.69]
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- (server) Streaming requests can are now interrupted pre-maturely when a concurrent request is made. Can be controlled with the `interrupt_requests` setting.
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- (server) Moved to fastapi v0.100.0 and pydantic v2
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- (docker) Added a new "simple" image that builds llama.cpp from source when started.
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- (server) performance improvements by avoiding unnecessary memory allocations during sampling
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## [0.1.68]
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- (llama.cpp) Update llama.cpp
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## [0.1.67]
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- Fix performance bug in Llama model by pre-allocating memory tokens and logits.
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- Fix bug in Llama model where the model was not free'd after use.
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## [0.1.66]
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- (llama.cpp) New model API
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- Performance issue during eval caused by looped np.concatenate call
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- State pickling issue when saving cache to disk
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## [0.1.65]
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- (llama.cpp) Fix struct misalignment bug
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## [0.1.64]
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- (llama.cpp) Update llama.cpp
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- Fix docs for seed. Set -1 for random.
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## [0.1.63]
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- (llama.cpp) Add full gpu utilisation in CUDA
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- (llama.cpp) Add get_vocab
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- (llama.cpp) Add low_vram parameter
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- (server) Add logit_bias parameter
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## [0.1.62]
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- Metal support working
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- Cache re-enabled
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## [0.1.61]
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- Fix broken pip installation
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## [0.1.60]
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NOTE: This release was deleted due to a bug with the packaging system that caused pip installations to fail.
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- Truncate max_tokens in create_completion so requested tokens doesn't exceed context size.
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- Temporarily disable cache for completion requests
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## [v0.1.59]
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- (llama.cpp) k-quants support
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- (server) mirostat sampling parameters to server
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- Support both `.so` and `.dylib` for `libllama` on MacOS
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## [v0.1.58]
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- (llama.cpp) Metal Silicon support
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## [v0.1.57]
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- (llama.cpp) OpenLlama 3B support
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## [v0.1.56]
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- (misc) Added first version of the changelog
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- (server) Use async routes
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- (python-api) Use numpy for internal buffers to reduce memory usage and improve performance.
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- (python-api) Performance bug in stop sequence check slowing down streaming. |