llava-v1.6-vicuna-13b#
README(From Huggingface)#
inference: false pipeline_tag: image-text-to-text#
LLaVA Model Card#
Model details#
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: lmsys/vicuna-13b-v1.5
Model date: LLaVA-v1.6-Vicuna-13B was trained in December 2023.
Paper or resources for more information: https://llava-vl.github.io/
License#
Llama 2 is licensed under the LLAMA 2 Community License, Copyright (c) Meta Platforms, Inc. All Rights Reserved.
Where to send questions or comments about the model: https://github.com/haotian-liu/LLaVA/issues
Intended use#
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.
158K GPT-generated multimodal instruction-following data.
500K academic-task-oriented VQA data mixture.
50K GPT-4V data mixture.
40K ShareGPT data.
Evaluation dataset#
A collection of 12 benchmarks, including 5 academic VQA benchmarks and 7 recent benchmarks specifically proposed for instruction-following LMMs.
Model Files#
README.md (1.5 KB)
chat_template.json (60.0 B)
config.json (1.8 KB)
generation_config.json (154.0 B)
model_state.pdparams (24.9 GB)
processor/eval/preprocessor_config.json (584.0 B)
processor/train/preprocessor_config.json (584.0 B)
sentencepiece.bpe.model (488.0 KB)
special_tokens_map.json (438.0 B)
tokenizer_config.json (936.0 B)