AR
intel/auto-round
SOTA rounding-based quantization for high-accuracy low-bit LLM inference, seamlessly optimized for CPU/XPU/CUDA, with multi-datatype support and full compatibility with vLLM, SGLang, and Transformers.
952 96 +1/wk
GitHub
gguf int4 llms mxfp4 nvfp4 quantization rounding sglang transformers vllm vlms
Trend
3
Star & Fork Trend (49 data points)
Stars
Forks
Multi-Source Signals
Growth Velocity
intel/auto-round has +1 stars this period . 7-day velocity: 1.3%.
Deep analysis is being generated for this repository.
Signal-backed technical analysis will be available soon.
| Metric | auto-round | NLP-Tutorials | GenAI_LLM_timeline | pyresparser |
|---|---|---|---|---|
| Stars | 952 | 952 | 953 | 953 |
| Forks | 96 | 318 | 58 | 447 |
| Weekly Growth | +1 | +0 | +0 | +0 |
| Language | Python | Python | N/A | Python |
| Sources | 1 | 1 | 1 | 1 |
| License | Apache-2.0 | MIT | N/A | GPL-3.0 |
Capability Radar vs NLP-Tutorials
auto-round
NLP-Tutorials
Maintenance Activity 100
Last code push 1 days ago.
Community Engagement 50
Fork-to-star ratio: 10.1%. Active community forking and contributing.
Issue Burden 70
Issue data not yet available.
Growth Momentum 46
+1 stars this period — 0.11% growth rate.
License Clarity 95
Licensed under Apache-2.0. Permissive — safe for commercial use.
Risk scores are computed from real-time repository data. Higher scores indicate healthier metrics.