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README.md

@@ -5,9 +5,8 @@ license_link: https://huggingface.co/Qwen/Qwen2.5-72B-Instruct/blob/main/LICENSE
 pipeline_tag: image-text-to-text
 library_name: transformers
 base_model:
-  - OpenGVLab/InternViT-300M-448px-V2_5
-  - Qwen/Qwen2.5-14B
-base_model_relation: merge
+  - OpenGVLab/InternVL3-14B-Pretrain
+base_model_relation: finetune
 language:
   - multilingual
 tags:
@@ -15,7 +14,7 @@ tags:
   - custom_code
 ---
 
-# InternVL3-14B-Pretrain
+# InternVL3-14B-Instruct
 
 [\[📂 GitHub\]](https://github.com/OpenGVLab/InternVL)  [\[📜 InternVL 1.0\]](https://huggingface.co/papers/2312.14238)  [\[📜 InternVL 1.5\]](https://huggingface.co/papers/2404.16821)  [\[📜 InternVL 2.5\]](https://huggingface.co/papers/2412.05271)  [\[📜 InternVL2.5-MPO\]](https://huggingface.co/papers/2411.10442)  [\[📜 InternVL3\]](https://huggingface.co/papers/2504.10479)
 
@@ -27,7 +26,7 @@ tags:
 
 ## Introduction
 
-***This is the pretrained version of InternVL3-14B, which has undergone native multimodal pre-trainin but has not undergone post-training (i.e., SFT and MPO).***
+***This is the SFT version of InternVL3-14B, which has undergone native multimodal pre-trainin and SFT but has not undergone MPO. If you're unsure which version to use, please use the [InternVL3-14B](https://huggingface.co/OpenGVLab/InternVL3-14B) version.***
 
 We introduce InternVL3, an advanced multimodal large language model (MLLM) series that demonstrates superior overall performance.
 Compared to InternVL 2.5, InternVL3 exhibits superior multimodal perception and reasoning capabilities, while further extending its multimodal capabilities to encompass tool usage, GUI agents, industrial image analysis, 3D vision perception, and more.