NC

neural-compressor

Model Optimization·infrastructure·open·#470 of 884·+38·Surging·Breakout #14

70.5

Moderate

High confidence

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

Pillar Breakdown

Adoption

35%

61.0

Maintenance

30%

80.3

Friction

20%

98.3

Ecosystem

15%

54.7

Momentum

0.76Surging
7d change -0.32
High confidence

In Model Optimization

Ranked #9 of 17

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