nunchaku-ai/nunchaku
[ICLR2025 Spotlight] SVDQuant: Absorbing Outliers by Low-Rank Components for 4-Bit Diffusion Models
3.9k
Stars
277
Forks
52.5
Radar Score
Stable
Momentum
Scoring Breakdown
Impact81.3
Velocity32.1
Health35.0
Growth Metrics
7-Day Stars
+0
30-Day Stars
+11
Acceleration
0.00x
Language
Python
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🛡️ Enterprise Readiness & Commercial Safety
Organic Growth
61%
Mixed Signals
License
Permissive (Commercial Friendly)
Safe for commercial use, modification, and distribution.
Health Grade
C
Based on maintenance, issue response, and release cadence.
Radar Score
52.5
Composite of Impact, Velocity, and Health.
⚠️ Growth Anomaly Detected:
- Issue engagement: 2 open issues for 3,941 stars (0.1%).
- Maintenance cadence: Last push 250 days ago.
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.
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