LI
HKUDS/LightReasoner
[ACL 2026] "LightReasoner: Can Small Language Models Teach Large Language Models Reasoning?"
595 32 +0/wk
GitHub
large-language-models post-training reasoning-models token-efficiency
Trend
3
Star & Fork Trend (23 data points)
Stars
Forks
Multi-Source Signals
Growth Velocity
HKUDS/LightReasoner has +0 stars this period . 7-day velocity: 0.3%.
Deep analysis is being generated for this repository.
Signal-backed technical analysis will be available soon.
| Metric | LightReasoner | GraphRAG4OpenWebUI | nlp-paper | text_mining_resources |
|---|---|---|---|---|
| Stars | 595 | 595 | 595 | 595 |
| Forks | 32 | 123 | 122 | 198 |
| Weekly Growth | +0 | +0 | +0 | +0 |
| Language | Python | Python | N/A | N/A |
| Sources | 1 | 1 | 1 | 1 |
| License | MIT | Apache-2.0 | N/A | N/A |
Capability Radar vs GraphRAG4OpenWebUI
LightReasoner
GraphRAG4OpenWebUI
Maintenance Activity 100
Last code push 1 days ago.
Community Engagement 27
Fork-to-star ratio: 5.4%. Lower fork ratio may indicate passive usage.
Issue Burden 70
Issue data not yet available.
Growth Momentum 30
No measurable growth in the current period (first-day cold start expected).
License Clarity 95
Licensed under MIT. Permissive — safe for commercial use.
Risk scores are computed from real-time repository data. Higher scores indicate healthier metrics.