Model type:
LLaVA is an open-source chatbot trained by fine-tuning LLM on multimodal instruction-following data.
It is an auto-regressive language model, based on the transformer architecture.
Base LLM:
NousResearch/Nous-Hermes-2-Yi-34B
Model date:
LLaVA-v1.6-34B was trained in December 2023.
Primary intended uses:
The primary use of LLaVA is research on large multimodal models and chatbots.
Primary intended users:
The primary intended users of the model are researchers and hobbyists in computer vision, natural language processing, machine learning, and artificial intelligence.
Training dataset
558K filtered image-text pairs from LAION/CC/SBU, captioned by BLIP.
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