SQ
SqueezeAILab/SqueezeLLM
[ICML 2024] SqueezeLLM: Dense-and-Sparse Quantization
717 50 +0/wk
GitHub
efficient-inference large-language-models llama llm localllm model-compression natural-language-processing post-training-quantization quantization small-models text-generation transformer
Trend
0
Star & Fork Trend (22 data points)
Stars
Forks
Multi-Source Signals
Growth Velocity
SqueezeAILab/SqueezeLLM 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 | SqueezeLLM | MARS | autocontext | InstructIR |
|---|---|---|---|---|
| Stars | 717 | 717 | 716 | 718 |
| Forks | 50 | 49 | 51 | 45 |
| Weekly Growth | +0 | -1 | +10 | +0 |
| Language | Python | Python | Python | Jupyter Notebook |
| Sources | 1 | 1 | 1 | 1 |
| License | MIT | Apache-2.0 | Apache-2.0 | MIT |
Capability Radar vs MARS
SqueezeLLM
MARS
Maintenance Activity 0
Last code push 604 days ago.
Community Engagement 35
Fork-to-star ratio: 7.0%. 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.