TinyLLaVA_Factory and LLaVA-Mini
These are competitors—both frameworks create efficient multimodal models by reducing LLaVA's size through knowledge distillation and architecture optimization, targeting the same use case of deploying vision-language models with minimal computational overhead.
Maintenance
16/25
Adoption
10/25
Maturity
9/25
Community
19/25
Maintenance
2/25
Adoption
10/25
Maturity
9/25
Community
13/25
Stars: 962
Forks: 96
Downloads: —
Commits (30d): 1
Language: Python
License: Apache-2.0
Stars: 562
Forks: 30
Downloads: —
Commits (30d): 0
Language: Python
License: Apache-2.0
No Package
No Dependents
Stale 6m
No Package
No Dependents
About TinyLLaVA_Factory
TinyLLaVA/TinyLLaVA_Factory
A Framework of Small-scale Large Multimodal Models
About LLaVA-Mini
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.
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