OQ

optimum-quanto

Model Optimization·infrastructure·open·#799 of 884·+103·Stable

58.1

Low

High confidence
GitHub

A pytorch quantization backend for optimum

Pillar Breakdown

Adoption

35%

39.2

Maintenance

30%

68.0

Friction

20%

96.4

Ecosystem

15%

45.5

Momentum

0.34Stable
7d change -0.25
High confidence

In Model Optimization

Ranked #14 of 17

1onnx
87.8
2Safetensors
83.6
3ONNX Runtime
82.7
4bitsandbytes
82.7
5DeepSpeed
78.4
6TensorRT
75.9
7Optimum
75.6
8numba
74.8
See all 17 in Model Optimization →

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