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 /torch211-cxx11-cpu-x86_64-linux /_quantization_bitsandbytes_cpu_dbc4d19.abi3.so
Download build/torch211-cxx11-cpu-x86_64-linux/_quantization_bitsandbytes_cpu_dbc4d19.abi3.so from replicate/quantization-bitsandbytes: direct link, hf CLI and curl.
- Browser
- Download file 143 kB
-
https://huggingface.co/replicate/quantization-bitsandbytes/resolve/main/build/torch211-cxx11-cpu-x86_64-linux/_quantization_bitsandbytes_cpu_dbc4d19.abi3.so
- Command line
-
hf download hf://replicate/quantization-bitsandbytes/build/torch211-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/torch211-cxx11-cpu-x86_64-linux/_quantization_bitsandbytes_cpu_dbc4d19.abi3.so
143 kB
- Xet hash:
- 12b5d76723a125e87840297f91c7aa51bda512e5a3cb5df241abf3d24649ff44
- Size of remote file:
- 143 kB
- SHA256:
- 88bfc7bc521461972e3945ce98b857a1de974c788f4004147f09c216b4c74263
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