llava-v1.5-7b#
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 LLaMA/Vicuna on GPT-generated multimodal instruction-following data. It is an auto-regressive language model, based on the transformer architecture.
Model date: LLaVA-v1.5-7B was trained in September 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.
450K academic-task-oriented VQA 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 (1.4 KB)
chat_template.json (60.0 B)
config.json (1.1 KB)
generation_config.json (125.0 B)
model_state.pdparams (25.2 GB)
processor/eval/preprocessor_config.json (380.0 B)
processor/train/preprocessor_config.json (380.0 B)
sentencepiece.bpe.model (488.0 KB)
special_tokens_map.json (438.0 B)
tokenizer_config.json (749.0 B)