Upload README.md with huggingface_hub

README.md

@@ -5,8 +5,9 @@ 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/InternVL3-2B-Instruct
-base_model_relation: finetune
+  - OpenGVLab/InternViT-300M-448px-V2_5
+  - Qwen/Qwen2.5-1.5B
+base_model_relation: merge
 datasets:
   - OpenGVLab/MMPR-v1.2
 language:
@@ -16,7 +17,7 @@ tags:
   - custom_code
 ---
 
-# InternVL3-2B
+# InternVL3-2B-Pretrained
 
 [\[📂 GitHub\]](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)
 
@@ -28,6 +29,8 @@ tags:
 
 ## Introduction
 
+***This is the pretrained version of InternVL3-2B, which has undergone native multimodal pre-trainin but has not undergone post-training (i.e., SFT and MPO). If you're unsure which version to use, please use the [InternVL3-2B](https://huggingface.co/OpenGVLab/InternVL3-2B) 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.
 Additionally, we compare InternVL3 with  Qwen2.5 Chat models, whose corresponding pre-trained base models are employed as the initialization of the langauge component in InternVL3. Benefitting from Native Multimodal Pre-Training, the InternVL3 series achieves even better overall text performance than the Qwen2.5 series.