update readme

README.md

@@ -1,45 +1,47 @@
----
-license: apache-2.0
-inference: false
-pipeline_tag: image-text-to-text
----
-<br>
-<br>
-
-# 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)]
-
-| Name | LLM | Checkpoint | MME | SEED-image | SQA-image | MMBench | MMBench-CN | TextVQA | GQA |
-|---|---|---|---|---|---|---|---|---|---|
-| llava-next-vicuna-7b | 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 | 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** |
-
-## 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.
+---
+license: apache-2.0
+inference: false
+datasets:
+  - Lin-Chen/ShareGPT4V
+pipeline_tag: image-text-to-text
+---
+<br>
+<br>
+
+# 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)]
+
+| Name | LLM | Checkpoint | MME | SEED-image | SQA-image | MMBench | MMBench-CN | TextVQA | GQA |
+|---|---|---|---|---|---|---|---|---|---|
+| llava-next-vicuna-7b | 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 | 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** |
+
+## 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.