OQ

optimum-quanto

Model Optimization·infrastructure·open·#802 of 886·+125·Stable

58.3

Low

High confidence
GitHub

A pytorch quantization backend for optimum

Pillar Breakdown

Adoption

35%

39.2

Maintenance

30%

68.3

Friction

20%

97.2

Ecosystem

15%

45.5

Momentum

0.32Stable
7d change +1.17
High confidence

In Model Optimization

Ranked #14 of 17

1onnx
87.9
2Safetensors
83.8
3bitsandbytes
83.2
4ONNX Runtime
82.6
5DeepSpeed
78.4
6TensorRT
76.0
7Optimum
75.8
8numba
75.1
See all 17 in Model Optimization →

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