LM
ictnlp/LLaVA-Mini
LLaVA-Mini is a unified large multimodal model (LMM) that can support the understanding of images, high-resolution images, and videos in an efficient manner.
569 32 +1/wk
GitHub
efficient gpt4o gpt4v large-language-models large-multimodal-models llama llava multimodal multimodal-large-language-models video vision vision-language-model
Trend
3
Star & Fork Trend (18 data points)
Stars
Forks
Multi-Source Signals
Growth Velocity
ictnlp/LLaVA-Mini has +1 stars this period . 7-day velocity: 0.3%.
Deep analysis is being generated for this repository.
Signal-backed technical analysis will be available soon.
| Metric | LLaVA-Mini | SepLLM | minigpt4.cpp | Awesome-AGI |
|---|---|---|---|---|
| Stars | 569 | 569 | 569 | 569 |
| Forks | 32 | 46 | 27 | 56 |
| Weekly Growth | +1 | -1 | +0 | +0 |
| Language | Python | Python | C++ | N/A |
| Sources | 1 | 1 | 1 | 1 |
| License | Apache-2.0 | N/A | MIT | MIT |
Capability Radar vs SepLLM
LLaVA-Mini
SepLLM
Maintenance Activity 0
Last code push 283 days ago.
Community Engagement 28
Fork-to-star ratio: 5.6%. Lower fork ratio may indicate passive usage.
Issue Burden 70
Issue data not yet available.
Growth Momentum 51
+1 stars this period — 0.18% 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.