LM
pjlab-sys4nlp/llama-moe
⛷️ LLaMA-MoE: Building Mixture-of-Experts from LLaMA with Continual Pre-training (EMNLP 2024)
999 60 -1/wk
GitHub
continual-pre-training expert-partition llama llm mixture-of-experts moe
Trend
0
Star & Fork Trend (17 data points)
Stars
Forks
Multi-Source Signals
Growth Velocity
pjlab-sys4nlp/llama-moe has -1 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 | llama-moe | OpenAlpha_Evolve | NeuroSploit | Prompt4ReasoningPapers |
|---|---|---|---|---|
| Stars | 999 | 997 | 1.0k | 1.0k |
| Forks | 60 | 147 | 248 | 67 |
| Weekly Growth | -1 | +0 | +2 | +0 |
| Language | Python | Python | Python | N/A |
| Sources | 1 | 1 | 1 | 1 |
| License | Apache-2.0 | MIT | N/A | MIT |
Capability Radar vs OpenAlpha_Evolve
llama-moe
OpenAlpha_Evolve
Maintenance Activity 0
Last code push 489 days ago.
Community Engagement 30
Fork-to-star ratio: 6.0%. 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 Apache-2.0. Permissive — safe for commercial use.
Risk scores are computed from real-time repository data. Higher scores indicate healthier metrics.