---
license: apache-2.0
inference: false
pipeline_tag: image-text-to-text
---
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# open-llava-next-vicuna-7b Model Card

## Model details

**Model type:**
open-llava-next-vicuna-7b is an open-source implementation chatbot trained by fine-tuning the entire model on open-source [Open-LLaVA-Next-mix1M](https://huggingface.co/datasets/Lin-Chen/Open-LLaVA-NeXT-mix1M) data.

**Model date:**
open-llava-next-vicuna-7b was trained in May 2024.

**Paper or resources for more information:**
[[Code](https://github.com/xiaoachen98/Open-LLaVA-NeXT)]

## Usage

You can utilize this model as we provide in our [[repository](https://github.com/xiaoachen98/Open-LLaVA-NeXT)]. Moreover, you can direct load this model and use it in the [[LLaVA repository](https://github.com/haotian-liu/LLaVA)].

## Training dataset

All training data are open-sourced in our [repository](https://github.com/xiaoachen98/Open-LLaVA-NeXT).

- [ShareGPT4V Mix665K](https://huggingface.co/datasets/Lin-Chen/ShareGPT4V)
- 200K GPT4V-generated instruction data (ALLaVA)
- 200K various VQA data

## Intended use

**Primary intended uses:**
The primary use of open-llava-next-vicuna-7b 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.