Model type:
LLaVA is an open-source chatbot trained by fine-tuning LLaMA/Vicuna on GPT-generated multimodal instruction-following data.
It is an auto-regressive language model, based on the transformer architecture.
Model date:
LLaVA-v1.5-13B-LoRA was trained in October 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.
A collection of 12 benchmarks, including 5 academic VQA benchmarks and 7 recent benchmarks specifically proposed for instruction-following LMMs.
Runs of liuhaotian llava-v1.5-13b-lora on huggingface.co
73
Total runs
0
24-hour runs
-7
3-day runs
-12
7-day runs
-36
30-day runs
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