AIencoder/llama-cpp-wheels
If you like this please consider liking and donating (https://buymeacoffee.com/aiencoder) 🏭 llama-cpp-python Mega-Factory Wheels "Stop waiting for pip to compile. Just install and run." The most complete collection of pre-built llama-cpp-python wheels in existence — 8,333 wheels across every platform, Python version, backend, and CPU optimization level. No more cmake, gcc, or compilation hell. No more waiting 10 minutes for a build that might fail. Just find your wheel and… See the full description on the dataset page: https://huggingface.co/datasets/AIencoder/llama-cpp-wheels.
wheel: llama_cpp_python-0.3.16+cu129_avx512_fma_f16c-cp39-cp39-manylinux_2_31_x86_64.whl
wheel: llama_cpp_python-0.3.16+cu129_basic-cp39-cp39-manylinux_2_31_x86_64.whl
wheel: llama_cpp_python-0.3.16+cu129_avx512_fma_f16c-cp314-cp314-manylinux_2_31_x86_64.whl
wheel: llama_cpp_python-0.3.16+cu129_avx2_fma_f16c-cp314-cp314-manylinux_2_31_x86_64.whl
wheel: llama_cpp_python-0.3.16+cu129_basic-cp310-cp310-manylinux_2_31_x86_64.whl
wheel: llama_cpp_python-0.3.16+cu129_avx512_fma_f16c-cp310-cp310-manylinux_2_31_x86_64.whl
wheel: llama_cpp_python-0.3.16+cu129_avx512_fma_f16c-cp311-cp311-manylinux_2_31_x86_64.whl
wheel: llama_cpp_python-0.3.16+cu129_avx2_fma_f16c-cp313-cp313-manylinux_2_31_x86_64.whl
wheel: llama_cpp_python-0.3.16+cu129_avx2_fma_f16c-cp38-cp38-manylinux_2_31_x86_64.whl
wheel: llama_cpp_python-0.3.16+cu129_avx512_fma_f16c-cp313-cp313-manylinux_2_31_x86_64.whl
wheel: llama_cpp_python-0.3.16+cu129_avx512_fma_f16c-cp312-cp312-manylinux_2_31_x86_64.whl
wheel: llama_cpp_python-0.3.16+cu129_basic-cp38-cp38-manylinux_2_31_x86_64.whl
wheel: llama_cpp_python-0.3.16+cu129_avx512_fma_f16c-cp38-cp38-manylinux_2_31_x86_64.whl
wheel: llama_cpp_python-0.3.16+cu129_avx2_fma_f16c-cp39-cp39-manylinux_2_31_x86_64.whl
wheel: llama_cpp_python-0.3.16+cu128_avx512_fma_f16c-cp38-cp38-manylinux_2_31_x86_64.whl
wheel: llama_cpp_python-0.3.16+cu128_avx2_fma_f16c-cp38-cp38-manylinux_2_31_x86_64.whl
wheel: llama_cpp_python-0.3.16+cu128_avx2_fma_f16c-cp314-cp314-manylinux_2_31_x86_64.whl
wheel: llama_cpp_python-0.3.16+cu128_avx512_fma_f16c-cp312-cp312-manylinux_2_31_x86_64.whl
wheel: llama_cpp_python-0.3.16+cu128_basic-cp310-cp310-manylinux_2_31_x86_64.whl
wheel: llama_cpp_python-0.3.16+cu128_basic-cp39-cp39-manylinux_2_31_x86_64.whl
wheel: llama_cpp_python-0.3.16+cu128_avx512_fma_f16c-cp310-cp310-manylinux_2_31_x86_64.whl
wheel: llama_cpp_python-0.3.16+cu128_avx512_fma_f16c-cp314-cp314-manylinux_2_31_x86_64.whl
wheel: llama_cpp_python-0.3.16+cu129_avx2_fma_f16c-cp310-cp310-manylinux_2_31_x86_64.whl
wheel: llama_cpp_python-0.3.16+cu128_avx512_fma_f16c-cp311-cp311-manylinux_2_31_x86_64.whl
wheel: llama_cpp_python-0.3.16+cu129_avx2_fma_f16c-cp312-cp312-manylinux_2_31_x86_64.whl
wheel: llama_cpp_python-0.3.16+cu128_avx2_fma_f16c-cp39-cp39-manylinux_2_31_x86_64.whl
wheel: llama_cpp_python-0.3.16+cu128_avx512_fma_f16c-cp39-cp39-manylinux_2_31_x86_64.whl
wheel: llama_cpp_python-0.3.16+cu128_basic-cp38-cp38-manylinux_2_31_x86_64.whl
wheel: llama_cpp_python-0.3.16+cu128_avx512_fma_f16c-cp313-cp313-manylinux_2_31_x86_64.whl
wheel: llama_cpp_python-0.3.16+cu128_avx2_fma_f16c-cp313-cp313-manylinux_2_31_x86_64.whl
wheel: llama_cpp_python-0.3.16+cu128_avx2_fma_f16c-cp311-cp311-manylinux_2_31_x86_64.whl
wheel: llama_cpp_python-0.3.16+cu128_avx2_fma_f16c-cp310-cp310-manylinux_2_31_x86_64.whl
wheel: llama_cpp_python-0.3.16+cu128_avx2_fma_f16c-cp312-cp312-manylinux_2_31_x86_64.whl
wheel: llama_cpp_python-0.3.16+cu129_avx2_fma_f16c-cp311-cp311-manylinux_2_31_x86_64.whl
wheel: llama_cpp_python-0.3.16+cu126_basic-cp38-cp38-manylinux_2_31_x86_64.whl
wheel: llama_cpp_python-0.3.16+cu126_avx512_fma_f16c-cp38-cp38-manylinux_2_31_x86_64.whl
wheel: llama_cpp_python-0.3.16+cu126_avx512_fma_f16c-cp39-cp39-manylinux_2_31_x86_64.whl
wheel: llama_cpp_python-0.3.16+cu126_basic-cp310-cp310-manylinux_2_31_x86_64.whl
wheel: llama_cpp_python-0.3.16+cu126_avx512_fma_f16c-cp313-cp313-manylinux_2_31_x86_64.whl
wheel: llama_cpp_python-0.3.16+cu126_avx512_fma_f16c-cp314-cp314-manylinux_2_31_x86_64.whl
wheel: llama_cpp_python-0.3.16+cu126_basic-cp39-cp39-manylinux_2_31_x86_64.whl
wheel: llama_cpp_python-0.3.16+cu126_avx512_fma_f16c-cp312-cp312-manylinux_2_31_x86_64.whl
wheel: llama_cpp_python-0.3.16+cu126_avx512_fma_f16c-cp311-cp311-manylinux_2_31_x86_64.whl
wheel: llama_cpp_python-0.3.16+cu126_avx2_fma_f16c-cp38-cp38-manylinux_2_31_x86_64.whl
wheel: llama_cpp_python-0.3.16+cu126_avx512_fma_f16c-cp310-cp310-manylinux_2_31_x86_64.whl
wheel: llama_cpp_python-0.3.16+cu124_basic-cp38-cp38-manylinux_2_31_x86_64.whl
wheel: llama_cpp_python-0.3.16+cu124_avx512_fma_f16c-cp39-cp39-manylinux_2_31_x86_64.whl
wheel: llama_cpp_python-0.3.16+cu126_avx2_fma_f16c-cp310-cp310-manylinux_2_31_x86_64.whl
wheel: llama_cpp_python-0.3.16+cu124_avx2_fma_f16c-cp39-cp39-manylinux_2_31_x86_64.whl
wheel: llama_cpp_python-0.3.16+cu126_avx2_fma_f16c-cp311-cp311-manylinux_2_31_x86_64.whl
