open-llava-next-llama3-8b Model Card
Model details
Model type: open-llava-next-llama3-8b is an open-source implementation chatbot trained by fine-tuning the entire model on open-source Open-LLaVA-Next-mix1M data.
Model date: open-llava-next-llama3-8b was trained in May 2024.
Paper or resources for more information: [Code]
| Name | ViT | LLM | Weights | MME | SEED | SQA | MMB | MMB-CN | TextVQA | GQA |
|---|---|---|---|---|---|---|---|---|---|---|
| llava-next-vicuna-7b | CLIP-L-336 | Vicuna-7B | HF | 1519 | 70.2 | 70.1 | 67.4 | 60.6 | 64.9 | 64.2 |
| open-llava-next-vicuna-7b | CLIP-L-336 | Vicuna-7B | HF | 1540 | 71.1 | 70.7 | 68.5 | 60.7 | 67.2 | 64.3 |
| open-llava-next-llama3-8b | CLIP-L-336 | LLaMA3-8B | HF | 1552 | 74.4 | 77.3 | 74.4 | 70.4 | 69.8 | 65.9 |
Usage
You can utilize this model as we provide in our [repository]. Moreover, you can direct load this model and use it in the [LLaVA repository].
Training dataset
All training data are open-sourced in our repository.
- ShareGPT4V Mix665K
- 200K GPT4V-generated instruction data (ALLaVA)
- 200K various VQA data
Intended use
Primary intended uses: The primary use of open-llava-next-llama3-8b 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.