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Datasets:
AIencoder
/
llama-cpp-wheels

Tags:
llama-cpp-python
llama.cpp
wheels
prebuilt
cuda
metal
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3
llama-cpp-wheels

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  1. Upload llama_cpp_python-0.3.16+cpuavx512-cp313-cp313-linux_x86_64.whl with huggingface_hub

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  2. Upload llama_cpp_python-0.3.16+cpuavx2-cp313-cp313-linux_x86_64.whl with huggingface_hub

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  3. Upload llama_cpp_python-0.3.16+cpuavx-cp313-cp313-linux_x86_64.whl with huggingface_hub

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  4. Upload llama_cpp_python-0.3.16+cpuavx512-cp312-cp312-linux_x86_64.whl with huggingface_hub

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  5. Upload llama_cpp_python-0.3.16+cpuavx2-cp312-cp312-linux_x86_64.whl with huggingface_hub

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  6. Upload llama_cpp_python-0.3.16+cpuavx-cp312-cp312-linux_x86_64.whl with huggingface_hub

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  7. Upload llama_cpp_python-0.3.16+cpuavx512-cp311-cp311-linux_x86_64.whl with huggingface_hub

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  8. Upload llama_cpp_python-0.3.16+cpuavx2-cp311-cp311-linux_x86_64.whl with huggingface_hub

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  9. Upload llama_cpp_python-0.3.16+cpuavx-cp311-cp311-linux_x86_64.whl with huggingface_hub

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  10. Upload llama_cpp_python-0.3.16+cpuavx512-cp310-cp310-linux_x86_64.whl with huggingface_hub

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  11. Upload llama_cpp_python-0.3.16+cpuavx2-cp310-cp310-linux_x86_64.whl with huggingface_hub

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  12. Upload llama_cpp_python-0.3.16+cpuavx-cp310-cp310-linux_x86_64.whl with huggingface_hub

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  13. 🔥 Mass deletion via Colab

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  14. Upload llama_cpp_python-0.3.16-cp311-cp311-linux_x86_64-AVX512-OpenBLAS.whl

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  1. Upload llama_cpp_python-0.2.26+cpuavx512-cp311-cp311-manylinux_2_31_x86_64.whl⁠

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  2. Upload llama_cpp_python-0.2.26+cpuavx2-cp311-cp311-manylinux_2_31_x86_64.whl⁠

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  3. Rename llama_cpp_python-0.3.16-cp313-cp313-manylinux_2_31_x86_64.whl to llama_cpp_python-0.3.16+avx2-cp313-cp313-manylinux_2_31_x86_64.whl

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  4. Rename llama_cpp_python-0.3.16-cp312-cp312-manylinux_2_31_x86_64.whl to llama_cpp_python-0.3.16+avx2-cp312-cp312-manylinux_2_31_x86_64.whl

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  5. Rename llama_cpp_python-0.3.16-cp311-cp311-manylinux_2_31_x86_64.whl to llama_cpp_python-0.3.16+avx2-cp311-cp311-manylinux_2_31_x86_64.whl

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  6. Rename llama_cpp_python-0.3.16-cp310-cp310-manylinux_2_31_x86_64.whl to llama_cpp_python-0.3.16+avx2-cp310-cp310-manylinux_2_31_x86_64.whl

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  7. Upload 4 files

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  1. Update README.md

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  2. Update README.md

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  3. Upload 2 files

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  4. Upload 2 files

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  5. Upload 2 files

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  6. Upload llama_cpp_python-0.3.16-cp311-cp311-musllinux_1_2_x86_64.whl

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  7. Upload 2 files

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  8. Upload 2 files

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  9. Upload 2 files

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  10. Upload llama_cpp_python-0.3.16-cp311-cp311-manylinux2014_x86_64.manylinux_2_17_x86_64.whl

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  11. initial commit

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