Llava V1.5 7b Lora

🚀 LLaVA Model Card

LLaVA is an open - source chatbot that enables research on large multimodal models and chatbots. It's based on the transformer architecture and trained on diverse datasets.

🚀 Quick Start

No quick start steps are provided in the original document, so this section is skipped.

✨ 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

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.

📄 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](https://github.com/haotian - liu/LLaVA/issues)