194 lines
No EOL
3.6 KiB
Markdown
194 lines
No EOL
3.6 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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## [0.2.1]
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- Fix bug in pip install of v0.2.0 due to .git folder being included in the source distribution
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## [0.2.0]
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- Migrated to scikit-build-core for building llama.cpp from source
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## [0.1.79]
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### Added
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- GGUF Support (breaking change requiring new model format)
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## [0.1.78]
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### Added
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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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### Added
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- (server) OpenAI style error responses
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## [0.1.73]
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### Added
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- (server) Add rope parameters to server settings
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## [0.1.72]
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### Added
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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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### Added
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- (llama.cpp) Update llama.cpp
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### Fixed
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- (server) Fix several pydantic v2 migration bugs
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## [0.1.70]
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### Fixed
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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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### Added
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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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## Fixed
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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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### Added
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- (llama.cpp) Update llama.cpp
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## [0.1.67]
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### Fixed
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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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### Added
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- (llama.cpp) New model API
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### Fixed
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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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### Added
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- (llama.cpp) Fix struct misalignment bug
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## [0.1.64]
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### Added
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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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### Added
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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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### Fixed
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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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### Fixed
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- Fix broken pip installation
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## [0.1.60]
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### NOTE
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- This release was deleted due to a bug with the packaging system that caused pip installations to fail.
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### Fixed
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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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### Added
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- (llama.cpp) k-quants support
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- (server) mirostat sampling parameters to server
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### Fixed
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- Support both `.so` and `.dylib` for `libllama` on MacOS
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## [v0.1.58]
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### Added
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- (llama.cpp) Metal Silicon support
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## [v0.1.57]
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### Added
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- (llama.cpp) OpenLlama 3B support
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## [v0.1.56]
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### Added
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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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### Fixed
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- (python-api) Performance bug in stop sequence check slowing down streaming. |