Instructions to use replicate/quantization-bitsandbytes with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Kernels
How to use replicate/quantization-bitsandbytes with Kernels:
# !pip install kernels from kernels import get_kernel # a version (or an explicit revision) is required; see the "Files and versions" tab for the available ones kernel = get_kernel("replicate/quantization-bitsandbytes", version=1) - Notebooks
- Google Colab
- Kaggle
quantization-bitsandbytes / build /torch212-cxx11-cpu-x86_64-linux /_quantization_bitsandbytes_cpu_dbc4d19.abi3.so
Download build/torch212-cxx11-cpu-x86_64-linux/_quantization_bitsandbytes_cpu_dbc4d19.abi3.so from replicate/quantization-bitsandbytes: direct link, hf CLI and curl.
- Browser
- Download file 147 kB
-
https://huggingface.co/replicate/quantization-bitsandbytes/resolve/main/build/torch212-cxx11-cpu-x86_64-linux/_quantization_bitsandbytes_cpu_dbc4d19.abi3.so
- Command line
-
hf download hf://replicate/quantization-bitsandbytes/build/torch212-cxx11-cpu-x86_64-linux/_quantization_bitsandbytes_cpu_dbc4d19.abi3.so
-
curl -L -o _quantization_bitsandbytes_cpu_dbc4d19.abi3.so https://huggingface.co/replicate/quantization-bitsandbytes/resolve/main/build/torch212-cxx11-cpu-x86_64-linux/_quantization_bitsandbytes_cpu_dbc4d19.abi3.so
147 kB
- Xet hash:
- 7a5845612c837bfd5abcb98268700228936da7fd657925f9fdd24c26531a453a
- Size of remote file:
- 147 kB
- SHA256:
- f9770f60bc879c7a9e116c6dd19ffe6b0ff793cc561e9262247299fef07c9053
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