Llava V1.5 7b

🚀 LLaVA Model Card

LLaVA is an open - source chatbot. It offers valuable insights for research on large multimodal models and chatbots, catering to researchers and hobbyists in related fields.

🚀 Quick Start

This section provides a high - level overview of the LLaVA model. For more detailed information, please refer to the subsequent sections.

✨ Features

• LLaVA is an auto - regressive language model based on the transformer architecture.
• It is trained by fine - tuning LLaMA/Vicuna on GPT - generated multimodal instruction - following data.

📚 Documentation

Model Details

License

Llama 2 is licensed under the LLAMA 2 Community License, Copyright (c) Meta Platforms, Inc. All Rights Reserved.

⚠️ Important Note

For questions or comments about the model, please visit [https://github.com/haotian - liu/LLaVA/issues](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.