MM
MiniMax-AI/MiniMax-M1
MiniMax-M1, the world's first open-weight, large-scale hybrid-attention reasoning model.
3.1k 281 +1/wk
GitHub
large-language-models llm minimax-m1 reasoning-models
Trend
3
Star & Fork Trend (17 data points)
Stars
Forks
Multi-Source Signals
Growth Velocity
MiniMax-AI/MiniMax-M1 has +1 stars this period . 7-day velocity: 0.1%.
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Signal-backed technical analysis will be available soon.
| Metric | MiniMax-M1 | LLaMA-Omni | awesome-speech-recognition-speech-synthesis-papers | Video-LLaMA |
|---|---|---|---|---|
| Stars | 3.1k | 3.1k | 3.1k | 3.1k |
| Forks | 281 | 223 | 514 | 287 |
| Weekly Growth | +1 | +0 | +0 | +0 |
| Language | Python | Python | N/A | Python |
| Sources | 1 | 1 | 1 | 1 |
| License | Apache-2.0 | Apache-2.0 | MIT | BSD-3-Clause |
Capability Radar vs LLaMA-Omni
MiniMax-M1
LLaMA-Omni
Maintenance Activity 0
Last code push 275 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 42
+1 stars this period — 0.03% growth rate.
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.