ChenLiu-1996/LM-Dispersion
[𝗜𝗖𝗠𝗟 𝟮𝟬𝟮𝟲] Dispersion loss counteracts embedding condensation and improves generalization in small language models
119
Stars
5
Forks
25.6
Radar Score
Declining
Momentum
Scoring Breakdown
Impact27.6
Velocity16.4
Health35.2
Growth Metrics
7-Day Stars
+0
30-Day Stars
+0
Acceleration
x
Language
Python
Why it ranks
Modest but positive momentum.
Top 91% globally
🛡️ Enterprise Readiness & Commercial Safety
Organic Growth
58%
Mixed Signals
License
NOASSERTION
Review license terms carefully before commercial adoption.
Health Grade
C
Based on maintenance, issue response, and release cadence.
Radar Score
25.6
Composite of Impact, Velocity, and Health.
⚠️ Growth Anomaly Detected:
- Issue engagement: 0 open issues for 119 stars (0.0%).
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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