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Xinyuan-VL-2B

Image-Text-to-Text

Inference Endpoints

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thomas-yanxin commited on Oct 3

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@@ -3,10 +3,10 @@ license: apache-2.0
 language:
 - en
 - zh
-base_model:
-- Qwen/Qwen2-VL-2B-Instruct
-pipeline_tag: visual-question-answering
----
 We evaluated **[XinYuan-VL-2B](https://huggingface.co/thomas-yanxin/XinYuan-VL-2B)** using the [VLMEvalKit](https://github.com/open-compass/VLMEvalKit) toolkit across the following benchmarks and found that **XinYuan-VL-2B** **outperformed** [Qwen/Qwen2-VL-2B-Instruct](https://huggingface.co/Qwen/Qwen2-VL-2B-Instruct) released by Alibaba Cloud, as well as other models of comparable parameter scale that have significant influence in the open-source community.

 language:
 - en
 - zh
+pipeline_tag: image-text-to-text
+tags:
+- multimodal
+library_name: transformers
 We evaluated **[XinYuan-VL-2B](https://huggingface.co/thomas-yanxin/XinYuan-VL-2B)** using the [VLMEvalKit](https://github.com/open-compass/VLMEvalKit) toolkit across the following benchmarks and found that **XinYuan-VL-2B** **outperformed** [Qwen/Qwen2-VL-2B-Instruct](https://huggingface.co/Qwen/Qwen2-VL-2B-Instruct) released by Alibaba Cloud, as well as other models of comparable parameter scale that have significant influence in the open-source community.