ModelCloud/GPTQModel
LLM model quantization (compression) toolkit with HW acceleration support for Nvidia (CUDA), AMD (ROCm), Intel GPU (XPU), Huawei Ascent (NPU), and Intel/AMD/Apple CPU via HF, vLLM, and SGLang.
1.3k
Stars
214
Forks
59.6
Radar Score
Rising
Momentum
Scoring Breakdown
Impact66.5
Velocity48.1
Health64.5
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 · quantizationTop 25% globally
Popular Alternatives & Competitors
Top projects in the same category (LLM Frameworks) — compare side by side.
🛡️ Enterprise Readiness & Commercial Safety
Organic Growth
81%
High Confidence
License
NOASSERTION
Review license terms carefully before commercial adoption.
Health Grade
A
Based on maintenance, issue response, and release cadence.
Radar Score
59.6
Composite of Impact, Velocity, and Health.
⚠️ Growth Anomaly Detected:
- Issue engagement: 1 open issues for 1,290 stars (0.1%).
Disclaimer: This is an automated heuristic assessment based on public GitHub signals. Always perform your own security audit, dependency review, and legal compliance check before production deployment.
Share & Embed
Display live Radar metrics in your documentation, website, or social profiles.