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README.md

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-This is the same model as in 
-[Lin-Chen/open-llava-next-llama3-8b](https://huggingface.co/Lin-Chen/open-llava-next-llama3-8b).
-We back up that repo just for replicable experiments of our project.
+---
+license: apache-2.0
+inference: false
+datasets:
+  - Lin-Chen/ShareGPT4V
+pipeline_tag: image-text-to-text
+---
+<br>
+<br>
+
+# 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](https://huggingface.co/datasets/Lin-Chen/Open-LLaVA-NeXT-mix1M) data.
+
+**Model date:**
+open-llava-next-llama3-8b was trained in May 2024.
+
+**Paper or resources for more information:**
+[[Code](https://github.com/xiaoachen98/Open-LLaVA-NeXT)]
+
+| Name | ViT | LLM | Weights | MME | SEED | SQA | MMB | MMB-CN | TextVQA | GQA |
+|---|---|---|---|---|---|---|---|---|---|---|
+| llava-next-vicuna-7b | CLIP-L-336 | Vicuna-7B | [HF](https://huggingface.co/liuhaotian/llava-v1.6-vicuna-7b) | 1519 | 70.2 | 70.1 | 67.4 | 60.6 | 64.9 | 64.2 |
+| open-llava-next-vicuna-7b| CLIP-L-336 | Vicuna-7B | [HF](https://huggingface.co/Lin-Chen/open-llava-next-vicuna-7b) | 1540 | 71.1 | 70.7 | 68.5 | 60.7 | 67.2 | 64.3 |
+| open-llava-next-llama3-8b| CLIP-L-336 | LLaMA3-8B | [HF](https://huggingface.co/Lin-Chen/open-llava-next-llama3-8b) | 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](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-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.