intel/auto-round
PTQ-Level Efficiency, QAT-Level Accuracy|训练后量化的效率，量化感知训练的精度
1.6k
Stars
186
Forks
60.6
Radar Score
Rising
Momentum
Scoring Breakdown
Impact72.0
Velocity47.6
Health60.5
Growth Metrics
7-Day Stars
+0
30-Day Stars
+0
Acceleration
x
Language
Python
Why it ranks
Steady growth — consistently collecting stars and contributors.
LLM Frameworks · inference engineTop 23% globally