LS
princeton-nlp/LLM-Shearing
[ICLR 2024] Sheared LLaMA: Accelerating Language Model Pre-training via Structured Pruning
643 58 +0/wk
GitHub
efficiency llama llama2 llm nlp pre-training pruning
Trend
0
Star & Fork Trend (33 data points)
Stars
Forks
Multi-Source Signals
Growth Velocity
princeton-nlp/LLM-Shearing has +0 stars this period . Velocity data will be available after more historical data is collected.
Deep analysis is being generated for this repository.
Signal-backed technical analysis will be available soon.
| Metric | LLM-Shearing | Liquid | Tabular-LLM | galah |
|---|---|---|---|---|
| Stars | 643 | 643 | 643 | 644 |
| Forks | 58 | 35 | 45 | 66 |
| Weekly Growth | +0 | +0 | +0 | +0 |
| Language | Python | Python | N/A | Go |
| Sources | 1 | 1 | 1 | 1 |
| License | MIT | MIT | N/A | Apache-2.0 |
Capability Radar vs Liquid
LLM-Shearing
Liquid
Maintenance Activity 0
Last code push 765 days ago.
Community Engagement 45
Fork-to-star ratio: 9.0%. 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.