intel / neural-compressor

SOTA low-bit LLM quantization (INT8/FP8/INT4/FP4/NF4) & sparsity; leading model compression techniques on TensorFlow, PyTorch, and ONNX Runtime

Date Created 2020-07-21 (4 years ago)

Commits 3,610 (last one a day ago)

Stargazers 2,218 (1 this week)

Watchers 34 (0 this week)

Forks 256

License apache-2.0

Ranking

RepositoryStats indexes 579,238 repositories, of these intel/neural-compressor is ranked #22,836 (96th percentile) for total stargazers, and #63,577 for total watchers. Github reports the primary language for this repository as Python, for repositories using this language it is ranked #3,453/115,001.

intel/neural-compressor is also tagged with popular topics, for these it's ranked: large-language-models (#84/1028), knowledge-distillation (#6/154)

Other Information

intel/neural-compressor has 8 open pull requests on Github, 1,545 pull requests have been merged over the lifetime of the repository.

Github issues are enabled, there are 36 open issues and 170 closed issues.

There have been 40 releases, the latest one was published on 2024-10-25 (13 days ago) with the name Intel Neural Compressor Release 3.1.

Homepage URL: https://intel.github.io/neural-compressor/

All Topics

awq fp4 gptq int4 int8 pruning mxformat sparsity sparsegpt auto-tuning smoothquant quantization low-precision large-language-models knowledge-distillation post-training-quantization quantization-aware-training

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Recent Commit History

2,232 commits on the default branch (master) since jan '22

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Languages

The primary language is Python but there's also others...

updated: 2024-11-06 @ 10:30pm, id: 281528773 / R_kgDOEMfJxQ