Oct 17 18 days ago

1. 14:47

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2. 14:43

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   c20c396
3. 14:43

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4. 14:41

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5. 14:32

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6. 14:29

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7. 14:28

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8. 14:27

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9. 14:25

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10. 14:24

    wheel: linux/x86_64/mkl-avx512-fma-f16c/0.3.5/llama_cpp_python-0.3.5+mkl_avx512_fma_f16c-cp313-cp313-manylinux_2_31_x86_64.whl

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11. 14:24

    wheel: linux/x86_64/cuda12.6/0.3.6/llama_cpp_python-0.3.6+cu126_avx512_fma_f16c-cp38-cp38-manylinux_2_31_x86_64.whl

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12. 14:22

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13. 14:21

    wheel: linux/x86_64/mkl-avx512-fma-f16c/0.3.5/llama_cpp_python-0.3.5+mkl_avx512_fma_f16c-cp311-cp311-manylinux_2_31_x86_64.whl

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14. 14:19

    wheel: linux/x86_64/mkl-avx512-fma-f16c/0.3.5/llama_cpp_python-0.3.5+mkl_avx512_fma_f16c-cp310-cp310-manylinux_2_31_x86_64.whl

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15. 14:16

    wheel: linux/x86_64/mkl-avx2-fma-f16c-avxvnni/0.3.5/llama_cpp_python-0.3.5+mkl_avx2_fma_f16c_avxvnni-cp39-cp39-manylinux_2_31_x86_64.whl

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16. 14:15

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17. 14:15

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18. 14:13

    Windows CUDA wheel: windows/x86_64/cuda12.6/0.3.4/llama_cpp_python-0.3.4+cu126-cp39-cp39-win_amd64.whl

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19. 14:11

    wheel: linux/x86_64/mkl-avx2-fma-f16c-avxvnni/0.3.5/llama_cpp_python-0.3.5+mkl_avx2_fma_f16c_avxvnni-cp313-cp313-manylinux_2_31_x86_64.whl

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20. 14:10

    wheel: linux/x86_64/mkl-avx2-fma-f16c-avxvnni/0.3.5/llama_cpp_python-0.3.5+mkl_avx2_fma_f16c_avxvnni-cp312-cp312-manylinux_2_31_x86_64.whl

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21. 14:09

    wheel: linux/x86_64/mkl-avx2-fma-f16c-avxvnni/0.3.5/llama_cpp_python-0.3.5+mkl_avx2_fma_f16c_avxvnni-cp311-cp311-manylinux_2_31_x86_64.whl

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22. 14:08

    wheel: linux/x86_64/mkl-avx2-fma-f16c-avxvnni/0.3.5/llama_cpp_python-0.3.5+mkl_avx2_fma_f16c_avxvnni-cp310-cp310-manylinux_2_31_x86_64.whl

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23. 14:05

    Windows CUDA wheel: windows/x86_64/cuda12.6/0.3.4/llama_cpp_python-0.3.4+cu126-cp313-cp313-win_amd64.whl

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24. 14:05

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25. 14:03

    wheel: linux/x86_64/mkl-avx2-fma-f16c/0.3.5/llama_cpp_python-0.3.5+mkl_avx2_fma_f16c-cp38-cp38-manylinux_2_31_x86_64.whl

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26. 14:02

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27. 14:00

    wheel: linux/x86_64/mkl-avx2-fma-f16c/0.3.5/llama_cpp_python-0.3.5+mkl_avx2_fma_f16c-cp313-cp313-manylinux_2_31_x86_64.whl

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28. 13:59

    wheel: linux/x86_64/mkl-avx2-fma-f16c/0.3.5/llama_cpp_python-0.3.5+mkl_avx2_fma_f16c-cp312-cp312-manylinux_2_31_x86_64.whl

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29. 13:58

    wheel: linux/x86_64/mkl-avx2-fma-f16c/0.3.5/llama_cpp_python-0.3.5+mkl_avx2_fma_f16c-cp311-cp311-manylinux_2_31_x86_64.whl

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30. 13:56

    Windows CUDA wheel: windows/x86_64/cuda12.6/0.3.4/llama_cpp_python-0.3.4+cu126-cp312-cp312-win_amd64.whl

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31. 13:55

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32. 13:55

    wheel: linux/x86_64/mkl-avx/0.3.5/llama_cpp_python-0.3.5+mkl_avx-cp310-cp310-manylinux_2_31_x86_64.whl

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33. 13:54

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34. 13:52

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35. 13:52

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36. 13:48

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37. 13:48

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38. 13:48

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39. 13:48

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40. 13:44

    wheel: linux/x86_64/cuda12.9/0.3.6/llama_cpp_python-0.3.6+cu129_basic-cp314-cp314-manylinux_2_31_x86_64.whl

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41. 13:43

    wheel: linux/x86_64/cuda12.9/0.3.6/llama_cpp_python-0.3.6+cu129_basic-cp313-cp313-manylinux_2_31_x86_64.whl

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42. 13:42

    Windows CUDA wheel: windows/x86_64/cuda12.6/0.3.4/llama_cpp_python-0.3.4+cu126-cp310-cp310-win_amd64.whl

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43. 13:27

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44. 13:23

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45. 13:17

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46. 13:12

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47. 13:09

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48. 13:06

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49. 13:06

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50. 13:04

    wheel: linux/x86_64/cuda12.9/0.3.6/llama_cpp_python-0.3.6+cu129_avx2_fma_f16c-cp38-cp38-manylinux_2_31_x86_64.whl

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