PE
bigscience-workshop/petals
🌸 Run LLMs at home, BitTorrent-style. Fine-tuning and inference up to 10x faster than offloading
10.1k 598 +3/wk
GitHub
bloom chatbot deep-learning distributed-systems falcon gpt guanaco language-models large-language-models llama machine-learning mixtral
Trend
3
Star & Fork Trend (37 data points)
Stars
Forks
Multi-Source Signals
Growth Velocity
bigscience-workshop/petals has +3 stars this period . 7-day velocity: 0.1%.
Deep analysis is being generated for this repository.
Signal-backed technical analysis will be available soon.
| Metric | petals | tpot | CoreNLP | llm-engineer-toolkit |
|---|---|---|---|---|
| Stars | 10.1k | 10.0k | 10.1k | 10.1k |
| Forks | 598 | 1.6k | 2.7k | 1.6k |
| Weekly Growth | +3 | +0 | +0 | +4 |
| Language | Python | Jupyter Notebook | Java | N/A |
| Sources | 1 | 1 | 1 | 1 |
| License | MIT | LGPL-3.0 | GPL-3.0 | Apache-2.0 |
Capability Radar vs tpot
petals
tpot
Maintenance Activity 0
Last code push 578 days ago.
Community Engagement 30
Fork-to-star ratio: 5.9%. Lower fork ratio may indicate passive usage.
Issue Burden 70
Issue data not yet available.
Growth Momentum 42
+3 stars this period — 0.03% growth rate.
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.