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  > _Two interns holding hands, symbolizing the integration of InternViT and InternLM._
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- \[[InternVL 1.5 Technical Report](https://arxiv.org/abs/2404.16821)\] \[[Paper](https://arxiv.org/abs/2312.14238)\] \[[GitHub](https://github.com/OpenGVLab/InternVL)\] \[[Chat Demo](https://internvl.opengvlab.com/)\] \[[中文解读](https://zhuanlan.zhihu.com/p/675877376)]
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  We introduce InternVL 1.5, an open-source multimodal large language model (MLLM) to bridge the capability gap between open-source and proprietary commercial models in multimodal understanding.
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  We introduce three simple designs:
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  - Params: 25.5B
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  - **Training Strategy:**
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- - Pretraining Stage
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- - Learnable Component: ViT + MLP
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- - Data: Please see our technical report.
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- - SFT Stage
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- - Learnable Component: ViT + MLP + LLM
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- - Data: Please see our technical report.
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-
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  ## Released Models
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  | Model | Vision Foundation Model | Release Date |Note |
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  | InternVL-Chat-V1.2(🤗 [HF link](https://huggingface.co/OpenGVLab/InternVL-Chat-V1-2) ) |InternViT-6B-448px-V1-2(🤗 [HF link](https://huggingface.co/OpenGVLab/InternViT-6B-448px-V1-2)) |2024.02.11 | scaling up LLM to 34B |
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  | InternVL-Chat-V1.1(🤗 [HF link](https://huggingface.co/OpenGVLab/InternVL-Chat-V1-1)) |InternViT-6B-448px-V1-0(🤗 [HF link](https://huggingface.co/OpenGVLab/InternViT-6B-448px-V1-0)) |2024.01.24 | support Chinese and stronger OCR |
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  ## Performance
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  ![image/png](https://cdn-uploads.huggingface.co/production/uploads/64119264f0f81eb569e0d569/4b85G7txoJ_LpT19SZJ4A.png)
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  ## Examples
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- ![image/png](https://cdn-uploads.huggingface.co/production/uploads/64119264f0f81eb569e0d569/R34jISP4K1U17m9yNP38O.png)
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- ![image/png](https://cdn-uploads.huggingface.co/production/uploads/64119264f0f81eb569e0d569/ChkU9XtlsjH0l2EqlO_is.png)
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- ![image/png](https://cdn-uploads.huggingface.co/production/uploads/64119264f0f81eb569e0d569/1TFxIcf96ANRPLoy4-rbh.png)
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- ![image/png](https://cdn-uploads.huggingface.co/production/uploads/64119264f0f81eb569e0d569/Wpjo1Sdwf7XcEDevqwcr-.png)
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- ![image/png](https://cdn-uploads.huggingface.co/production/uploads/64119264f0f81eb569e0d569/kO4-J38sN8TFtmQ5mIBMS.png)
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- ![image/png](https://cdn-uploads.huggingface.co/production/uploads/64119264f0f81eb569e0d569/qPnTe3Q9UBy8wbclOsmWk.png)
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- ![image/png](https://cdn-uploads.huggingface.co/production/uploads/64119264f0f81eb569e0d569/l_BILRi13CbZNzbZYn6o6.png)
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- ![image/png](https://cdn-uploads.huggingface.co/production/uploads/64119264f0f81eb569e0d569/2782y7RnvGBogYEIG__7S.png)
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- ![image/png](https://cdn-uploads.huggingface.co/production/uploads/64119264f0f81eb569e0d569/RyO35PTH14OFiwyxtAZM2.png)
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- ![image/png](https://cdn-uploads.huggingface.co/production/uploads/64119264f0f81eb569e0d569/xiLZXWL-JiCTVPnV_VxS2.png)
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- ![image/png](https://cdn-uploads.huggingface.co/production/uploads/64119264f0f81eb569e0d569/gqX46Tt5jvrcVqb0vcf06.png)
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  ## Model Usage
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  > _Two interns holding hands, symbolizing the integration of InternViT and InternLM._
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+ \[[InternVL 1.5 Technical Report](https://arxiv.org/abs/2404.16821)\] \[[CVPR Paper](https://arxiv.org/abs/2312.14238)\] \[[GitHub](https://github.com/OpenGVLab/InternVL)\] \[[Chat Demo](https://internvl.opengvlab.com/)\] \[[中文解读](https://zhuanlan.zhihu.com/p/675877376)]
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  We introduce InternVL 1.5, an open-source multimodal large language model (MLLM) to bridge the capability gap between open-source and proprietary commercial models in multimodal understanding.
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  We introduce three simple designs:
 
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  - Params: 25.5B
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  - **Training Strategy:**
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+ - Learnable component in the pretraining stage: ViT + MLP
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+ - Learnable component in the finetuning stage: ViT + MLP + LLM
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+ - For more details on training hyperparameters, take a look at our code: [pretrain](https://github.com/OpenGVLab/InternVL/blob/main/internvl_chat/shell/internlm2_20b_dynamic/internvl_chat_v1_5_internlm2_20b_dynamic_res_pretrain.sh) | [finetune](https://github.com/OpenGVLab/InternVL/blob/main/internvl_chat/shell/internlm2_20b_dynamic/internvl_chat_v1_5_internlm2_20b_dynamic_res_finetune.sh)
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  ## Released Models
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  | Model | Vision Foundation Model | Release Date |Note |
 
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  | InternVL-Chat-V1.2(🤗 [HF link](https://huggingface.co/OpenGVLab/InternVL-Chat-V1-2) ) |InternViT-6B-448px-V1-2(🤗 [HF link](https://huggingface.co/OpenGVLab/InternViT-6B-448px-V1-2)) |2024.02.11 | scaling up LLM to 34B |
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  | InternVL-Chat-V1.1(🤗 [HF link](https://huggingface.co/OpenGVLab/InternVL-Chat-V1-1)) |InternViT-6B-448px-V1-0(🤗 [HF link](https://huggingface.co/OpenGVLab/InternViT-6B-448px-V1-0)) |2024.01.24 | support Chinese and stronger OCR |
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+ ## Architecture
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+ ![image/png](https://cdn-uploads.huggingface.co/production/uploads/64119264f0f81eb569e0d569/YLvX3V-L0kwsyRn3Lhciw.png)
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  ## Performance
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  ![image/png](https://cdn-uploads.huggingface.co/production/uploads/64119264f0f81eb569e0d569/4b85G7txoJ_LpT19SZJ4A.png)
 
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  ## Examples
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+ ![image/png](https://cdn-uploads.huggingface.co/production/uploads/64119264f0f81eb569e0d569/YVr-93mvVMR6UFpGezns7.png)
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+ ![image/png](https://cdn-uploads.huggingface.co/production/uploads/64119264f0f81eb569e0d569/ivhj4QqcO2NHUa28DTDkK.png)
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+ ![image/png](https://cdn-uploads.huggingface.co/production/uploads/64119264f0f81eb569e0d569/18GeOW10QVcSt5g--TgDY.png)
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+ ![image/png](https://cdn-uploads.huggingface.co/production/uploads/64119264f0f81eb569e0d569/tGM_TwdV297H1fCxQ0PZU.png)
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+ ![image/png](https://cdn-uploads.huggingface.co/production/uploads/64119264f0f81eb569e0d569/FwlSRBpKgURAVkXNOLoSp.png)
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+ ![image/png](https://cdn-uploads.huggingface.co/production/uploads/64119264f0f81eb569e0d569/to3nOaAnyv-fGLEoNPLzz.png)
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ## Model Usage
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