MQT LLaVA 7b

🚀 MQT-LLaVA Model Card

MQT-LLaVA is an open - source chatbot model that offers capabilities for multimodal research and interaction.

🚀 Quick Start

This section provides a quick overview of the MQT - LLaVA model.

✨ Features

• MQT-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.

Where to send questions or comments about the model: https://github.com/gordonhu608/MQT-LLaVA/issues

🎯 Intended use

Primary intended uses: The primary use of MQT-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 11 benchmarks, including 4 academic VQA benchmarks and 7 recent benchmarks specifically proposed for instruction - following LMMs.