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intel/neural-compressor

PythonApache-2.0active
89Health

SOTA low-bit LLM quantization (INT8/FP8/MXFP8/INT4/MXFP4/NVFP4) & sparsity; leading model compression techniques on PyTorch, TensorFlow, and ONNX Runtime

Stars2.6k
Forks305
Open Issues17
Contributors305
Last Push0d ago

Health Breakdown

Activity
25
Community
25
Maintenance
14
Popularity
25
#auto-tuning#awq#fp4#gptq#int4#int8#knowledge-distillation#large-language-models#low-precision#mxformat#post-training-quantization#pruning#quantization#quantization-aware-training#smoothquant#sparsegpt#sparsity
View on GitHub ↗Issues (17) ↗Pull Requests ↗Wiki ↗

Should you contribute to intel/neural-compressor?

intel/neural-compressor has a FoundDev health score of 89/100, which puts it in the active-and-maintained tier. The maintainer team is shipping recently, issues are being closed, and a PR you open this week has a realistic chance of being reviewed.

Last push was 0 days ago — that signals an actively maintained project. New issues are likely to get a maintainer response within days. The project is written primarily in Python, so prior Python experience will shorten ramp-up.

Licensed under Apache-2.0, a standard OSI-approved license — safe to contribute to under normal employer IP policies.

Community

intel
intel/neural-compressor
PythonApache 2.0
89

SOTA low-bit LLM quantization (INT8/FP8/MXFP8/INT4/MXFP4/NVFP4) & sparsity; leading model compression techniques on PyTorch, TensorFlow, and ONNX Runtime

active
2.6k305 contributors17 issues
0d ago

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