diff --git a/.github/workflows/build-and-release.yaml b/.github/workflows/build-and-release.yaml index 2c0ca4a2a..316b9e7f4 100644 --- a/.github/workflows/build-and-release.yaml +++ b/.github/workflows/build-and-release.yaml @@ -26,7 +26,8 @@ jobs: - name: Install dependencies run: | - python -m pip install --upgrade pip pytest cmake scikit-build setuptools + python -m pip install --upgrade pip + python -m pip install -e .[all] - name: Build wheels run: python -m cibuildwheel --output-dir wheelhouse @@ -46,10 +47,11 @@ jobs: - uses: actions/setup-python@v3 - name: Install dependencies run: | - python -m pip install --upgrade pip pytest cmake scikit-build setuptools + python -m pip install --upgrade pip build + python -m pip install -e .[all] - name: Build source distribution run: | - python setup.py sdist + python -m build --sdist - uses: actions/upload-artifact@v3 with: path: ./dist/*.tar.gz diff --git a/.github/workflows/publish-to-test.yaml b/.github/workflows/publish-to-test.yaml index 5a9f3393a..3fb51214c 100644 --- a/.github/workflows/publish-to-test.yaml +++ b/.github/workflows/publish-to-test.yaml @@ -19,10 +19,11 @@ jobs: python-version: "3.8" - name: Install dependencies run: | - python -m pip install --upgrade pip pytest cmake scikit-build setuptools + python3 -m pip install --upgrade pip build + python3 -m pip install -e .[all] - name: Build source distribution run: | - python setup.py sdist + python3 -m build --sdist - name: Publish to Test PyPI uses: pypa/gh-action-pypi-publish@release/v1 with: diff --git a/.github/workflows/publish.yaml b/.github/workflows/publish.yaml index ddefd686d..7d6c97048 100644 --- a/.github/workflows/publish.yaml +++ b/.github/workflows/publish.yaml @@ -19,10 +19,11 @@ jobs: python-version: "3.8" - name: Install dependencies run: | - python -m pip install --upgrade pip pytest cmake scikit-build setuptools + python3 -m pip install --upgrade pip build + python3 -m pip install -e .[all] - name: Build source distribution run: | - python setup.py sdist + python3 -m build --sdist - name: Publish distribution to PyPI # TODO: move to tag based releases # if: startsWith(github.ref, 'refs/tags') diff --git a/.github/workflows/test-pypi.yaml b/.github/workflows/test-pypi.yaml index 38f2d926c..cc6a3a725 100644 --- a/.github/workflows/test-pypi.yaml +++ b/.github/workflows/test-pypi.yaml @@ -18,7 +18,7 @@ jobs: - name: Install dependencies run: | python3 -m pip install --upgrade pip - python3 -m pip install --verbose llama-cpp-python[server,test] + python3 -m pip install --verbose llama-cpp-python[all] - name: Test with pytest run: | python3 -c "import llama_cpp" @@ -38,7 +38,7 @@ jobs: - name: Install dependencies run: | python3 -m pip install --upgrade pip - python3 -m pip install --verbose llama-cpp-python[server,test] + python3 -m pip install --verbose llama-cpp-python[all] - name: Test with pytest run: | python3 -c "import llama_cpp" @@ -58,7 +58,7 @@ jobs: - name: Install dependencies run: | python3 -m pip install --upgrade pip - python3 -m pip install --verbose llama-cpp-python[server,test] + python3 -m pip install --verbose llama-cpp-python[all] - name: Test with pytest run: | python3 -c "import llama_cpp" \ No newline at end of file diff --git a/.github/workflows/test.yaml b/.github/workflows/test.yaml index a73e347b5..aca743b73 100644 --- a/.github/workflows/test.yaml +++ b/.github/workflows/test.yaml @@ -14,7 +14,7 @@ jobs: runs-on: ubuntu-latest strategy: matrix: - python-version: ["3.7", "3.8", "3.9", "3.10", "3.11"] + python-version: ["3.8", "3.9", "3.10", "3.11"] steps: - uses: actions/checkout@v3 @@ -26,18 +26,18 @@ jobs: python-version: ${{ matrix.python-version }} - name: Install dependencies run: | - python -m pip install --upgrade pip pytest cmake scikit-build setuptools fastapi sse-starlette httpx uvicorn pydantic-settings - pip install . -v + python3 -m pip install --upgrade pip + python3 -m pip install .[all] -v - name: Test with pytest run: | - pytest + python3 -m pytest build-windows: runs-on: windows-latest strategy: matrix: - python-version: ["3.7", "3.8", "3.9", "3.10", "3.11"] + python-version: ["3.8", "3.9", "3.10", "3.11"] steps: - uses: actions/checkout@v3 @@ -49,18 +49,18 @@ jobs: python-version: ${{ matrix.python-version }} - name: Install dependencies run: | - python -m pip install --upgrade pip pytest cmake scikit-build setuptools fastapi sse-starlette httpx uvicorn pydantic-settings - pip install . -v + python3 -m pip install --upgrade pip + python3 -m pip install .[all] -v - name: Test with pytest run: | - pytest + python3 -m pytest build-macos: runs-on: macos-latest strategy: matrix: - python-version: ["3.7", "3.8", "3.9", "3.10", "3.11"] + python-version: ["3.8", "3.9", "3.10", "3.11"] steps: - uses: actions/checkout@v3 @@ -72,8 +72,8 @@ jobs: python-version: ${{ matrix.python-version }} - name: Install dependencies run: | - python -m pip install --upgrade pip pytest cmake scikit-build setuptools fastapi sse-starlette httpx uvicorn pydantic-settings - pip install . -v + python3 -m pip install --upgrade pip + python3 -m pip install .[all] --verbose - name: Test with pytest run: | - pytest \ No newline at end of file + python3 -m pytest \ No newline at end of file diff --git a/CMakeLists.txt b/CMakeLists.txt index 788402a56..633431b2c 100644 --- a/CMakeLists.txt +++ b/CMakeLists.txt @@ -2,33 +2,37 @@ cmake_minimum_required(VERSION 3.4...3.22) project(llama_cpp) -option(FORCE_CMAKE "Force CMake build of Python bindings" OFF) +option(LLAMA_BUILD "Build llama.cpp shared library and install alongside python package" ON) -set(FORCE_CMAKE $ENV{FORCE_CMAKE}) -if (UNIX AND NOT FORCE_CMAKE) - add_custom_command( - OUTPUT ${CMAKE_CURRENT_SOURCE_DIR}/vendor/llama.cpp/libllama.so - COMMAND make libllama.so - WORKING_DIRECTORY ${CMAKE_CURRENT_SOURCE_DIR}/vendor/llama.cpp - ) - add_custom_target( - run ALL - DEPENDS ${CMAKE_CURRENT_SOURCE_DIR}/vendor/llama.cpp/libllama.so - ) - install( - FILES ${CMAKE_CURRENT_SOURCE_DIR}/vendor/llama.cpp/libllama.so - DESTINATION llama_cpp - ) -else() +if (LLAMA_BUILD) set(BUILD_SHARED_LIBS "On") + if (APPLE) + # Need to disable these llama.cpp flags on Apple + # otherwise users may encounter invalid instruction errors + set(LLAMA_AVX "Off" CACHE BOOL "llama: enable AVX" FORCE) + set(LLAMA_AVX2 "Off" CACHE BOOL "llama: enable AVX2" FORCE) + set(LLAMA_FMA "Off" CACHE BOOL "llama: enable FMA" FORCE) + set(LLAMA_F16C "Off" CACHE BOOL "llama: enable F16C" FORCE) + set(CMAKE_C_FLAGS "${CMAKE_C_FLAGS} -march=native -mtune=native") + set(CMAKE_CXX_FLAGS "${CMAKE_CXX_FLAGS} -march=native -mtune=native") + endif() add_subdirectory(vendor/llama.cpp) install( TARGETS llama - LIBRARY DESTINATION llama_cpp - RUNTIME DESTINATION llama_cpp - ARCHIVE DESTINATION llama_cpp - FRAMEWORK DESTINATION llama_cpp - RESOURCE DESTINATION llama_cpp + LIBRARY DESTINATION ${SKBUILD_PLATLIB_DIR}/llama_cpp + RUNTIME DESTINATION ${SKBUILD_PLATLIB_DIR}/llama_cpp + ARCHIVE DESTINATION ${SKBUILD_PLATLIB_DIR}/llama_cpp + FRAMEWORK DESTINATION ${SKBUILD_PLATLIB_DIR}/llama_cpp + RESOURCE DESTINATION ${SKBUILD_PLATLIB_DIR}/llama_cpp + ) + # Temporary fix for https://github.com/scikit-build/scikit-build-core/issues/374 + install( + TARGETS llama + LIBRARY DESTINATION ${CMAKE_CURRENT_SOURCE_DIR}/llama_cpp + RUNTIME DESTINATION ${CMAKE_CURRENT_SOURCE_DIR}/llama_cpp + ARCHIVE DESTINATION ${CMAKE_CURRENT_SOURCE_DIR}/llama_cpp + FRAMEWORK DESTINATION ${CMAKE_CURRENT_SOURCE_DIR}/llama_cpp + RESOURCE DESTINATION ${CMAKE_CURRENT_SOURCE_DIR}/llama_cpp ) endif() diff --git a/Makefile b/Makefile index c359260b6..e293b2dd2 100644 --- a/Makefile +++ b/Makefile @@ -5,26 +5,30 @@ update: update.vendor: cd vendor/llama.cpp && git pull origin master +deps: + python3 -m pip install pip + python3 -m pip install -e ".[all]" + build: - python3 setup.py develop + python3 -m pip install -e . build.cuda: - CMAKE_ARGS="-DLLAMA_CUBLAS=on" FORCE_CMAKE=1 python3 setup.py develop + CMAKE_ARGS="-DLLAMA_CUBLAS=on" python3 -m pip install -e . build.opencl: - CMAKE_ARGS="-DLLAMA_CLBLAST=on" FORCE_CMAKE=1 python3 setup.py develop + CMAKE_ARGS="-DLLAMA_CLBLAST=on" python3 -m pip install -e . build.openblas: - CMAKE_ARGS="-DLLAMA_OPENBLAS=on" FORCE_CMAKE=1 python3 setup.py develop + CMAKE_ARGS="-DLLAMA_CLBLAST=on" python3 -m pip install -e . build.blis: - CMAKE_ARGS="-DLLAMA_OPENBLAS=on -DLLAMA_OPENBLAS_VENDOR=blis" FORCE_CMAKE=1 python3 setup.py develop + CMAKE_ARGS="-DLLAMA_OPENBLAS=on -DLLAMA_OPENBLAS_VENDOR=blis" python3 -m pip install -e . build.metal: - CMAKE_ARGS="-DLLAMA_METAL=on" FORCE_CMAKE=1 python3 setup.py develop + CMAKE_ARGS="-DLLAMA_METAL=on" python3 -m pip install -e . build.sdist: - python3 setup.py sdist + python3 -m build --sdist deploy.pypi: python3 -m twine upload dist/* diff --git a/README.md b/README.md index c4123d990..1c8c68a54 100644 --- a/README.md +++ b/README.md @@ -1,4 +1,4 @@ -# 🦙 Python Bindings for `llama.cpp` +# 🦙 Python Bindings for [`llama.cpp`](https://github.com/ggerganov/llama.cpp) [![Documentation Status](https://readthedocs.org/projects/llama-cpp-python/badge/?version=latest)](https://llama-cpp-python.readthedocs.io/en/latest/?badge=latest) [![Tests](https://github.com/abetlen/llama-cpp-python/actions/workflows/test.yaml/badge.svg?branch=main)](https://github.com/abetlen/llama-cpp-python/actions/workflows/test.yaml) @@ -48,7 +48,6 @@ Otherwise, while installing it will build the llama.ccp x86 version which will b ### Installation with Hardware Acceleration `llama.cpp` supports multiple BLAS backends for faster processing. -Use the `FORCE_CMAKE=1` environment variable to force the use of `cmake` and install the pip package for the desired BLAS backend. To install with OpenBLAS, set the `LLAMA_BLAS and LLAMA_BLAS_VENDOR` environment variables before installing: @@ -208,24 +207,26 @@ If you find any issues with the documentation, please open an issue or submit a This package is under active development and I welcome any contributions. -To get started, clone the repository and install the package in development mode: +To get started, clone the repository and install the package in editable / development mode: ```bash git clone --recurse-submodules https://github.com/abetlen/llama-cpp-python.git cd llama-cpp-python +# Upgrade pip (required for editable mode) +pip install --upgrade pip + # Install with pip pip install -e . # if you want to use the fastapi / openapi server pip install -e .[server] -# If you're a poetry user, installing will also include a virtual environment -poetry install --all-extras -. .venv/bin/activate +# to install all optional dependencies +pip install -e .[all] -# Will need to be re-run any time vendor/llama.cpp is updated -python3 setup.py develop +# to clear the local build cache +make clean ``` # How does this compare to other Python bindings of `llama.cpp`? diff --git a/docker/cuda_simple/Dockerfile b/docker/cuda_simple/Dockerfile index e5aaf1737..51350afc7 100644 --- a/docker/cuda_simple/Dockerfile +++ b/docker/cuda_simple/Dockerfile @@ -21,7 +21,7 @@ ENV LLAMA_CUBLAS=1 RUN python3 -m pip install --upgrade pip pytest cmake scikit-build setuptools fastapi uvicorn sse-starlette pydantic-settings # Install llama-cpp-python (build with cuda) -RUN CMAKE_ARGS="-DLLAMA_CUBLAS=on" FORCE_CMAKE=1 pip install llama-cpp-python +RUN CMAKE_ARGS="-DLLAMA_CUBLAS=on" pip install llama-cpp-python # Run the server CMD python3 -m llama_cpp.server diff --git a/docker/simple/Dockerfile b/docker/simple/Dockerfile index 507b2ba46..41cc68ea2 100644 --- a/docker/simple/Dockerfile +++ b/docker/simple/Dockerfile @@ -19,9 +19,9 @@ RUN mkdir /app WORKDIR /app COPY . /app -RUN python3 -m pip install --upgrade pip pytest cmake scikit-build setuptools fastapi uvicorn sse-starlette pydantic-settings +RUN python3 -m pip install --upgrade pip -RUN make build && make clean +RUN make deps && make build && make clean # Set environment variable for the host ENV HOST=0.0.0.0 diff --git a/docs/index.md b/docs/index.md index 7d5ccc314..e820b5f39 100644 --- a/docs/index.md +++ b/docs/index.md @@ -82,9 +82,12 @@ To get started, clone the repository and install the package in development mode ```bash git clone git@github.com:abetlen/llama-cpp-python.git +cd llama-cpp-python git submodule update --init --recursive # Will need to be re-run any time vendor/llama.cpp is updated -python3 setup.py develop + +pip install --upgrade pip +pip install -e .[all] ``` ## License diff --git a/docs/install/macos.md b/docs/install/macos.md index 3330396e3..8f0e9dbca 100644 --- a/docs/install/macos.md +++ b/docs/install/macos.md @@ -30,7 +30,7 @@ conda activate llama *(you needed xcode installed in order pip to build/compile the C++ code)* ``` pip uninstall llama-cpp-python -y -CMAKE_ARGS="-DLLAMA_METAL=on" FORCE_CMAKE=1 pip install -U llama-cpp-python --no-cache-dir +CMAKE_ARGS="-DLLAMA_METAL=on" pip install -U llama-cpp-python --no-cache-dir pip install 'llama-cpp-python[server]' # you should now have llama-cpp-python v0.1.62 or higher installed diff --git a/llama_cpp/__init__.py b/llama_cpp/__init__.py index cfea00e59..e20c9bb09 100644 --- a/llama_cpp/__init__.py +++ b/llama_cpp/__init__.py @@ -1,4 +1,4 @@ from .llama_cpp import * from .llama import * -from .version import __version__ \ No newline at end of file +__version__ = "0.2.0" \ No newline at end of file diff --git a/llama_cpp/llama.py b/llama_cpp/llama.py index 67ee2dbc6..f79a2c2f5 100644 --- a/llama_cpp/llama.py +++ b/llama_cpp/llama.py @@ -182,21 +182,27 @@ def __init__( self.llama_state_size = llama_state_size -LogitsProcessor = Callable[[List[int], List[float]], List[float]] +LogitsProcessor = Callable[ + [npt.NDArray[np.intc], npt.NDArray[np.single]], npt.NDArray[np.single] +] class LogitsProcessorList(List[LogitsProcessor]): - def __call__(self, input_ids: List[int], scores: List[float]) -> List[float]: + def __call__( + self, input_ids: npt.NDArray[np.intc], scores: npt.NDArray[np.single] + ) -> npt.NDArray[np.single]: for processor in self: scores = processor(input_ids, scores) return scores -StoppingCriteria = Callable[[List[int], List[float]], bool] +StoppingCriteria = Callable[[npt.NDArray[np.intc], npt.NDArray[np.single]], bool] class StoppingCriteriaList(List[StoppingCriteria]): - def __call__(self, input_ids: List[int], logits: List[float]) -> bool: + def __call__( + self, input_ids: npt.NDArray[np.intc], logits: npt.NDArray[np.single] + ) -> bool: return any([stopping_criteria(input_ids, logits) for stopping_criteria in self]) @@ -281,11 +287,12 @@ def __init__( self._p_tensor_split = None if self.tensor_split is not None: - FloatArray = (ctypes.c_float * len(self.tensor_split))(*self.tensor_split) - self._p_tensor_split = ctypes.POINTER(ctypes.c_float)( - FloatArray + # Type conversion and expand the list to the length of LLAMA_MAX_DEVICES + FloatArray = ctypes.c_float * llama_cpp.LLAMA_MAX_DEVICES.value + self._c_tensor_split = FloatArray( + *tensor_split ) # keep a reference to the array so it is not gc'd - self.params.tensor_split = self._p_tensor_split + self.params.tensor_split = self._c_tensor_split self.params.rope_freq_base = rope_freq_base self.params.rope_freq_scale = rope_freq_scale @@ -535,11 +542,7 @@ def _sample( logits: npt.NDArray[np.single] = self._scores[-1, :] if logits_processor is not None: - logits = np.array( - logits_processor(self._input_ids.tolist(), logits.tolist()), - dtype=np.single, - ) - self._scores[-1, :] = logits + logits[:] = logits_processor(self._input_ids, logits) nl_logit = logits[self._token_nl] candidates = self._candidates @@ -778,7 +781,7 @@ def generate( grammar=grammar, ) if stopping_criteria is not None and stopping_criteria( - self._input_ids.tolist(), self._scores[-1, :].tolist() + self._input_ids, self._scores[-1, :] ): return tokens_or_none = yield token @@ -1105,7 +1108,7 @@ def _create_completion( break if stopping_criteria is not None and stopping_criteria( - self._input_ids.tolist(), self._scores[-1, :].tolist() + self._input_ids, self._scores[-1, :] ): text = self.detokenize(completion_tokens) finish_reason = "stop" @@ -1525,6 +1528,8 @@ def _convert_text_completion_chunks_to_chat( def create_chat_completion( self, messages: List[ChatCompletionMessage], + functions: Optional[List[ChatCompletionFunction]] = None, + function_call: Optional[Union[str, ChatCompletionFunctionCall]] = None, temperature: float = 0.2, top_p: float = 0.95, top_k: int = 40, diff --git a/llama_cpp/llama_cpp.py b/llama_cpp/llama_cpp.py index 22b1473d3..cfda5ea9d 100644 --- a/llama_cpp/llama_cpp.py +++ b/llama_cpp/llama_cpp.py @@ -87,8 +87,8 @@ def _load_shared_library(lib_base_name: str): # llama.h bindings GGML_USE_CUBLAS = hasattr(_lib, "ggml_init_cublas") -GGML_CUDA_MAX_DEVICES = ctypes.c_int(16) -LLAMA_MAX_DEVICES = GGML_CUDA_MAX_DEVICES if GGML_USE_CUBLAS else ctypes.c_int(1) +GGML_CUDA_MAX_DEVICES = 16 +LLAMA_MAX_DEVICES = GGML_CUDA_MAX_DEVICES if GGML_USE_CUBLAS else 1 # define LLAMA_DEFAULT_SEED 0xFFFFFFFF LLAMA_DEFAULT_SEED = ctypes.c_int(0xFFFFFFFF) @@ -335,13 +335,13 @@ class llama_model_quantize_params(Structure): # // LLAMA_GRETYPE_CHAR_RNG_UPPER to add an alternate char to match ([ab], [a-zA]) # LLAMA_GRETYPE_CHAR_ALT = 6, # }; -LLAMA_GRETYPE_END = c_int(0) -LLAMA_GRETYPE_ALT = c_int(1) -LLAMA_GRETYPE_RULE_REF = c_int(2) -LLAMA_GRETYPE_CHAR = c_int(3) -LLAMA_GRETYPE_CHAR_NOT = c_int(4) -LLAMA_GRETYPE_CHAR_RNG_UPPER = c_int(5) -LLAMA_GRETYPE_CHAR_ALT = c_int(6) +LLAMA_GRETYPE_END = 0 +LLAMA_GRETYPE_ALT = 1 +LLAMA_GRETYPE_RULE_REF = 2 +LLAMA_GRETYPE_CHAR = 3 +LLAMA_GRETYPE_CHAR_NOT = 4 +LLAMA_GRETYPE_CHAR_RNG_UPPER = 5 +LLAMA_GRETYPE_CHAR_ALT = 6 # typedef struct llama_grammar_element { @@ -407,7 +407,7 @@ def llama_model_quantize_default_params() -> llama_model_quantize_params: # // If numa is true, use NUMA optimizations # // Call once at the start of the program # LLAMA_API void llama_backend_init(bool numa); -def llama_backend_init(numa: c_bool): +def llama_backend_init(numa: Union[c_bool, bool]): return _lib.llama_backend_init(numa) @@ -651,9 +651,9 @@ def llama_model_quantize( # int n_threads); def llama_apply_lora_from_file( ctx: llama_context_p, - path_lora: c_char_p, - path_base_model: c_char_p, - n_threads: c_int, + path_lora: Union[c_char_p, bytes], + path_base_model: Union[c_char_p, bytes], + n_threads: Union[c_int, int], ) -> int: return _lib.llama_apply_lora_from_file(ctx, path_lora, path_base_model, n_threads) @@ -671,7 +671,7 @@ def llama_model_apply_lora_from_file( model: llama_model_p, path_lora: Union[c_char_p, bytes], path_base_model: Union[c_char_p, bytes], - n_threads: c_int, + n_threads: Union[c_int, int], ) -> int: return _lib.llama_model_apply_lora_from_file( model, path_lora, path_base_model, n_threads @@ -751,7 +751,7 @@ def llama_load_session_file( ctx: llama_context_p, path_session: bytes, tokens_out, # type: Array[llama_token] - n_token_capacity: c_size_t, + n_token_capacity: Union[c_size_t, int], n_token_count_out, # type: _Pointer[c_size_t] ) -> int: return _lib.llama_load_session_file( @@ -774,7 +774,7 @@ def llama_save_session_file( ctx: llama_context_p, path_session: bytes, tokens, # type: Array[llama_token] - n_token_count: c_size_t, + n_token_count: Union[c_size_t, int], ) -> int: return _lib.llama_save_session_file(ctx, path_session, tokens, n_token_count) @@ -801,9 +801,9 @@ def llama_save_session_file( def llama_eval( ctx: llama_context_p, tokens, # type: Array[llama_token] - n_tokens: c_int, - n_past: c_int, - n_threads: c_int, + n_tokens: Union[c_int, int], + n_past: Union[c_int, int], + n_threads: Union[c_int, int], ) -> int: return _lib.llama_eval(ctx, tokens, n_tokens, n_past, n_threads) @@ -822,9 +822,9 @@ def llama_eval( def llama_eval_embd( ctx: llama_context_p, embd, # type: Array[c_float] - n_tokens: c_int, - n_past: c_int, - n_threads: c_int, + n_tokens: Union[c_int, int], + n_past: Union[c_int, int], + n_threads: Union[c_int, int], ) -> int: return _lib.llama_eval_embd(ctx, embd, n_tokens, n_past, n_threads) @@ -1042,8 +1042,8 @@ def llama_token_to_piece_with_model( # size_t start_rule_index); def llama_grammar_init( rules, # type: Array[llama_grammar_element_p] # type: ignore - n_rules: c_size_t, - start_rule_index: c_size_t, + n_rules: Union[c_size_t, int], + start_rule_index: Union[c_size_t, int], ) -> llama_grammar_p: return _lib.llama_grammar_init(rules, n_rules, start_rule_index) @@ -1084,8 +1084,8 @@ def llama_sample_repetition_penalty( ctx: llama_context_p, candidates, # type: _Pointer[llama_token_data_array] last_tokens_data, # type: Array[llama_token] - last_tokens_size: c_int, - penalty: c_float, + last_tokens_size: Union[c_int, int], + penalty: Union[c_float, float], ): return _lib.llama_sample_repetition_penalty( ctx, candidates, last_tokens_data, last_tokens_size, penalty @@ -1108,9 +1108,9 @@ def llama_sample_frequency_and_presence_penalties( ctx: llama_context_p, candidates, # type: _Pointer[llama_token_data_array] last_tokens_data, # type: Array[llama_token] - last_tokens_size: c_int, - alpha_frequency: c_float, - alpha_presence: c_float, + last_tokens_size: Union[c_int, int], + alpha_frequency: Union[c_float, float], + alpha_presence: Union[c_float, float], ): return _lib.llama_sample_frequency_and_presence_penalties( ctx, @@ -1146,7 +1146,7 @@ def llama_sample_classifier_free_guidance( ctx: llama_context_p, candidates, # type: _Pointer[llama_token_data_array] guidance_ctx: llama_context_p, - scale: c_float, + scale: Union[c_float, float], ): return _lib.llama_sample_classifier_free_guidance( ctx, candidates, guidance_ctx, scale @@ -1182,8 +1182,8 @@ def llama_sample_softmax( def llama_sample_top_k( ctx: llama_context_p, candidates, # type: _Pointer[llama_token_data_array] - k: c_int, - min_keep: c_size_t, + k: Union[c_int, int], + min_keep: Union[c_size_t, int], ): return _lib.llama_sample_top_k(ctx, candidates, k, min_keep) @@ -1202,8 +1202,8 @@ def llama_sample_top_k( def llama_sample_top_p( ctx: llama_context_p, candidates, # type: _Pointer[llama_token_data_array] - p: c_float, - min_keep: c_size_t, + p: Union[c_float, float], + min_keep: Union[c_size_t, int], ): return _lib.llama_sample_top_p(ctx, candidates, p, min_keep) @@ -1222,8 +1222,8 @@ def llama_sample_top_p( def llama_sample_tail_free( ctx: llama_context_p, candidates, # type: _Pointer[llama_token_data_array] - z: c_float, - min_keep: c_size_t, + z: Union[c_float, float], + min_keep: Union[c_size_t, int], ): return _lib.llama_sample_tail_free(ctx, candidates, z, min_keep) @@ -1242,8 +1242,8 @@ def llama_sample_tail_free( def llama_sample_typical( ctx: llama_context_p, candidates, # type: _Pointer[llama_token_data_array] - p: c_float, - min_keep: c_size_t, + p: Union[c_float, float], + min_keep: Union[c_size_t, int], ): return _lib.llama_sample_typical(ctx, candidates, p, min_keep) @@ -1261,7 +1261,7 @@ def llama_sample_typical( def llama_sample_temperature( ctx: llama_context_p, candidates, # type: _Pointer[llama_token_data_array] - temp: c_float, + temp: Union[c_float, float], ): return _lib.llama_sample_temperature(ctx, candidates, temp) @@ -1301,9 +1301,9 @@ def llama_sample_grammar( def llama_sample_token_mirostat( ctx: llama_context_p, candidates, # type: _Pointer[llama_token_data_array] - tau: c_float, - eta: c_float, - m: c_int, + tau: Union[c_float, float], + eta: Union[c_float, float], + m: Union[c_int, int], mu, # type: _Pointer[c_float] ) -> int: return _lib.llama_sample_token_mirostat(ctx, candidates, tau, eta, m, mu) @@ -1329,8 +1329,8 @@ def llama_sample_token_mirostat( def llama_sample_token_mirostat_v2( ctx: llama_context_p, candidates, # type: _Pointer[llama_token_data_array] - tau: c_float, - eta: c_float, + tau: Union[c_float, float], + eta: Union[c_float, float], mu, # type: _Pointer[c_float] ) -> int: return _lib.llama_sample_token_mirostat_v2(ctx, candidates, tau, eta, mu) @@ -1531,5 +1531,5 @@ def llama_dump_timing_info_yaml(stream: ctypes.c_void_p, ctx: llama_context_p): _llama_initialized = False if not _llama_initialized: - llama_backend_init(c_bool(False)) + llama_backend_init(False) _llama_initialized = True diff --git a/llama_cpp/llama_types.py b/llama_cpp/llama_types.py index 6ba8023bd..21a0d4f1b 100644 --- a/llama_cpp/llama_types.py +++ b/llama_cpp/llama_types.py @@ -63,6 +63,16 @@ class ChatCompletionMessage(TypedDict): user: NotRequired[str] +class ChatCompletionFunction(TypedDict): + name: str + description: NotRequired[str] + parameters: Dict[str, Any] # TODO: make this more specific + + +class ChatCompletionFunctionCall(TypedDict): + name: str + + class ChatCompletionChoice(TypedDict): index: int message: ChatCompletionMessage @@ -77,9 +87,11 @@ class ChatCompletion(TypedDict): choices: List[ChatCompletionChoice] usage: CompletionUsage + class ChatCompletionChunkDeltaEmpty(TypedDict): pass + class ChatCompletionChunkDelta(TypedDict): role: NotRequired[Literal["assistant"]] content: NotRequired[str] diff --git a/llama_cpp/server/app.py b/llama_cpp/server/app.py index 24d33fd64..6923aec3e 100644 --- a/llama_cpp/server/app.py +++ b/llama_cpp/server/app.py @@ -19,6 +19,9 @@ from pydantic_settings import BaseSettings from sse_starlette.sse import EventSourceResponse +import numpy as np +import numpy.typing as npt + class Settings(BaseSettings): model: str = Field( @@ -38,11 +41,13 @@ class Settings(BaseSettings): default=None, description="Split layers across multiple GPUs in proportion.", ) - rope_freq_base: float = Field(default=10000, ge=1, description="RoPE base frequency") - rope_freq_scale: float = Field(default=1.0, description="RoPE frequency scaling factor") - seed: int = Field( - default=1337, description="Random seed. -1 for random." + rope_freq_base: float = Field( + default=10000, ge=1, description="RoPE base frequency" + ) + rope_freq_scale: float = Field( + default=1.0, description="RoPE frequency scaling factor" ) + seed: int = Field(default=1337, description="Random seed. -1 for random.") n_batch: int = Field( default=512, ge=1, description="The batch size to use per eval." ) @@ -559,9 +564,9 @@ def make_logit_bias_processor( to_bias[input_id] = score def logit_bias_processor( - input_ids: List[int], - scores: List[float], - ) -> List[float]: + input_ids: npt.NDArray[np.intc], + scores: npt.NDArray[np.single], + ) -> npt.NDArray[np.single]: new_scores = [None] * len(scores) for input_id, score in enumerate(scores): new_scores[input_id] = score + to_bias.get(input_id, 0.0) @@ -594,9 +599,11 @@ async def create_completion( kwargs = body.model_dump(exclude=exclude) if body.logit_bias is not None: - kwargs['logits_processor'] = llama_cpp.LogitsProcessorList([ - make_logit_bias_processor(llama, body.logit_bias, body.logit_bias_type), - ]) + kwargs["logits_processor"] = llama_cpp.LogitsProcessorList( + [ + make_logit_bias_processor(llama, body.logit_bias, body.logit_bias_type), + ] + ) iterator_or_completion: Union[llama_cpp.Completion, Iterator[ llama_cpp.CompletionChunk @@ -663,6 +670,14 @@ class CreateChatCompletionRequest(BaseModel): messages: List[ChatCompletionRequestMessage] = Field( default=[], description="A list of messages to generate completions for." ) + functions: Optional[List[llama_cpp.ChatCompletionFunction]] = Field( + default=None, + description="A list of functions to apply to the generated completions.", + ) + function_call: Optional[Union[str, llama_cpp.ChatCompletionFunctionCall]] = Field( + default=None, + description="A function to apply to the generated completions.", + ) max_tokens: int = max_tokens_field temperature: float = temperature_field top_p: float = top_p_field @@ -721,9 +736,11 @@ async def create_chat_completion( kwargs = body.model_dump(exclude=exclude) if body.logit_bias is not None: - 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-[extras] -server = ["fastapi", "pydantic-settings", "sse-starlette", "uvicorn"] - -[metadata] -lock-version = "2.0" -python-versions = "^3.8.1" -content-hash = "af67f2afd23599bc5231a3c0ae735bfcae5596bb6d149b379c614e721f6917b9" diff --git a/poetry.toml b/poetry.toml deleted file mode 100644 index be97f1ef2..000000000 --- a/poetry.toml +++ /dev/null @@ -1,3 +0,0 @@ -[virtualenvs] -in-project = true -prefer-active-python = true \ No newline at end of file diff --git a/pyproject.toml b/pyproject.toml index b54bd798d..f0b7ad329 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -1,48 +1,63 @@ -[tool.poetry] +[build-system] +requires = ["scikit-build-core>=0.5.0"] +build-backend = "scikit_build_core.build" + +[project] name = "llama_cpp_python" -version = "0.1.85" +dynamic = ["version"] description = "Python bindings for the llama.cpp library" -authors = ["Andrei Betlen "] -license = "MIT" readme = "README.md" -homepage = "https://github.com/abetlen/llama-cpp-python" -repository = "https://github.com/abetlen/llama-cpp-python" -packages = [{include = "llama_cpp"}] -include = [ - "LICENSE.md", +license = { text = "MIT" } +authors = [ + { name = "Andrei Betlen", email = "abetlen@gmail.com" }, ] +dependencies = [ + "typing-extensions>=4.5.0", + "numpy>=1.20.0", + "diskcache>=5.6.1", +] +requires-python = ">=3.8" -[tool.poetry.dependencies] -python = "^3.8.1" -typing-extensions = "^4.7.1" -numpy = "^1.24.4" -diskcache = "^5.6.3" -uvicorn = { version = "^0.23.2", optional = true } -fastapi = { version = ">=0.100.0", optional = true } -sse-starlette = { version = ">=1.6.1", optional = true } -pydantic-settings = { version = ">=2.0.1", optional = true } - -[tool.poetry.group.dev.dependencies] -black = "^23.9.1" -twine = "^4.0.2" -mkdocs = "^1.5.2" -mkdocstrings = {extras = ["python"], version = "^0.23.0"} -mkdocs-material = "^9.3.1" -pytest = "^7.4.2" -httpx = "^0.25.0" -scikit-build = "0.17.6" - -[tool.poetry.extras] -server = ["uvicorn", "fastapi", "pydantic-settings", "sse-starlette"] + +[project.optional-dependencies] +server = [ + "uvicorn>=0.22.0", + "fastapi>=0.100.0", + "pydantic-settings>=2.0.1", + "sse-starlette>=1.6.1", +] +test = [ + "pytest>=7.4.0", + "httpx>=0.24.1", +] +dev = [ + "black>=23.3.0", + "twine>=4.0.2", + "mkdocs>=1.4.3", + "mkdocstrings[python]>=0.22.0", + "mkdocs-material>=9.1.18", + "pytest>=7.4.0", + "httpx>=0.24.1", +] +all = [ + "llama_cpp_python[server,test,dev]", +] + +[tool.scikit-build] +wheel.packages = ["llama_cpp"] +cmake.verbose = true +cmake.minimum-version = "3.12" +minimum-version = "0.5" +ninja.make-fallback = false + +[tool.scikit-build.metadata.version] +provider = "scikit_build_core.metadata.regex" +input = "llama_cpp/__init__.py" + +[project.urls] +Homepage = "https://github.com/abetlen/llama-cpp-python" +Issues = "https://github.com/abetlen/llama-cpp-python/issues" [tool.pytest.ini_options] addopts = "--ignore=vendor" -[build-system] -requires = [ - "setuptools>=42", - "scikit-build>=0.13", - "cmake>=3.18", - "ninja", -] -build-backend = "setuptools.build_meta" \ No newline at end of file diff --git a/setup.py b/setup.py deleted file mode 100644 index 54ff975c6..000000000 --- a/setup.py +++ /dev/null @@ -1,35 +0,0 @@ -from skbuild import setup - -from pathlib import Path - -this_directory = Path(__file__).parent -long_description = (this_directory / "README.md").read_text(encoding="utf-8") - -exec(open('llama_cpp/version.py').read()) - -setup( - name="llama_cpp_python", - description="A Python wrapper for llama.cpp", - long_description=long_description, - long_description_content_type="text/markdown", - version=__version__, - author="Andrei Betlen", - author_email="abetlen@gmail.com", - license="MIT", - package_dir={"llama_cpp": "llama_cpp", "llama_cpp.server": "llama_cpp/server"}, - package_data={"llama_cpp": ["py.typed"]}, - packages=["llama_cpp", "llama_cpp.server"], - install_requires=["typing-extensions>=4.5.0", "numpy>=1.20.0", "diskcache>=5.6.1"], - extras_require={ - "server": ["uvicorn>=0.22.0", "fastapi>=0.100.0", "pydantic-settings>=2.0.1", "sse-starlette>=1.6.1"], - }, - python_requires=">=3.7", - classifiers=[ - "Programming Language :: Python :: 3", - "Programming Language :: Python :: 3.7", - "Programming Language :: Python :: 3.8", - "Programming Language :: Python :: 3.9", - "Programming Language :: Python :: 3.10", - "Programming Language :: Python :: 3.11", - ], -)