Support xcomposer2.5 (#1287)

Jintao-Huang · web-flow · commit fd1dd264bc9c · 2024-07-08T12:44:23.000+08:00
diff --git a/README.md b/README.md
@@ -47,6 +47,7 @@ SWIFT has rich documentations for users, please check [here](https://github.com/
 SWIFT web-ui is available both on [Huggingface space](https://huggingface.co/spaces/tastelikefeet/swift) and [ModelScope studio](https://www.modelscope.cn/studios/iic/Scalable-lightWeight-Infrastructure-for-Fine-Tuning/summary), please feel free to try!
 
 ## 🎉 News
+- 2024.07.08: Support internlm-xcomposer2_5-7b-chat. You can check the best practice [here](docs/source_en/Multi-Modal/internlm-xcomposer2-best-practice.md).
 - 2024.07.06: Support for the llava-next-video series models: llava-next-video-7b-instruct, llava-next-video-7b-32k-instruct, llava-next-video-7b-dpo-instruct, llava-next-video-34b-instruct. You can refer to [llava-video best practice](docs/source_en/Multi-Modal/llava-video-best-practice.md) for more information.
 - 2024.07.06: Support internvl2 series: internvl2-2b, internvl2-4b, internvl2-8b, internvl2-26b.
 - 2024.07.06: Support codegeex4-9b-chat.
@@ -554,7 +555,7 @@ The complete list of supported models and datasets can be found at [Supported Mo
 | Qwen-VL            | [Tongyi Qwen vision model](https://github.com/QwenLM)                        | Chinese<br>English | 7B<br>including quantized versions | base model<br>chat model |
 | Qwen-Audio         | [Tongyi Qwen speech model](https://github.com/QwenLM)                        | Chinese<br>English | 7B                                 | base model<br>chat model |
 | YI-VL              | [01AI's YI series vision models](https://github.com/01-ai)                   | Chinese<br>English | 6B-34B                             | chat model         |
-| XComposer2         | [Pujiang AI Lab InternLM vision model](https://github.com/InternLM/InternLM) | Chinese<br>English | 7B                                 | chat model         |
+| XComposer2<br>XComposer2.5         | [Pujiang AI Lab InternLM vision model](https://github.com/InternLM/InternLM-XComposer) | Chinese<br>English | 7B                                 | chat model         |
 | DeepSeek-VL        | [DeepSeek series vision models](https://github.com/deepseek-ai)              | Chinese<br>English | 1.3B-7B                            | chat model         |
 | MiniCPM-V<br>MiniCPM-V-2<br>MiniCPM-V-2_5  | [OpenBmB MiniCPM vision model](https://github.com/OpenBMB/MiniCPM) | Chinese<br>English | 3B-9B            | chat model          |
 | CogVLM<br>CogVLM2<br>CogAgent<br>GLM4V | [Zhipu ChatGLM visual QA and Agent model](https://github.com/THUDM/)         | Chinese<br>English | 9B-19B                            | chat model         |
diff --git a/README_CN.md b/README_CN.md
@@ -48,6 +48,7 @@ SWIFT具有丰富的文档体系，如有使用问题请请查看[这里](https:
 可以在[Huggingface space](https://huggingface.co/spaces/tastelikefeet/swift) 和 [ModelScope创空间](https://www.modelscope.cn/studios/iic/Scalable-lightWeight-Infrastructure-for-Fine-Tuning/summary) 中体验SWIFT web-ui功能了。
 
 ## 🎉 新闻
+- 2024.07.08: 支持internlm-xcomposer2_5-7b-chat. 最佳实践可以查看[这里](docs/source/Multi-Modal/internlm-xcomposer2最佳实践.md).
 - 2024.07.06: 支持llava-next-video系列模型: llava-next-video-7b-instruct, llava-next-video-7b-32k-instruct, llava-next-video-7b-dpo-instruct, llava-next-video-34b-instruct. 可以查看[llava-video最佳实践](docs/source/Multi-Modal/llava-video最佳实践.md)了解更多.
 - 2024.07.06: 支持internvl-2系列: internvl2-2b, internvl2-4b, internvl2-8b, internvl2-26b.
 - 2024.07.06: 支持codegeex4-9b-chat.
@@ -551,7 +552,7 @@ CUDA_VISIBLE_DEVICES=0 swift deploy \
 | Qwen-VL                                   | [通义千问视觉模型](https://github.com/QwenLM)                                      | 中文<br>英文 | 7B<br>包含量化版本    | base模型<br>chat模型 |
 | Qwen-Audio                                | [通义千问语音模型](https://github.com/QwenLM)                                      | 中文<br>英文 | 7B              | base模型<br>chat模型 |
 | YI-VL                                     | [01AI的YI系列视觉模型](https://github.com/01-ai)                                  | 中文<br>英文 | 6B-34B          | chat模型          |
-| XComposer2                                | [浦江实验室书生浦语视觉模型](https://github.com/InternLM/InternLM)                      | 中文<br>英文 | 7B              | chat模型          |
+| XComposer2<br>XComposer2.5                | [浦江实验室书生浦语视觉模型](https://github.com/InternLM/InternLM-XComposer)                      | 中文<br>英文 | 7B              | chat模型          |
 | DeepSeek-VL                               | [幻方系列视觉模型](https://github.com/deepseek-ai)                                 | 中文<br>英文 | 1.3B-7B         | chat模型          |
 | MiniCPM-V<br>MiniCPM-V-2<br>MiniCPM-V-2_5 | [OpenBmB MiniCPM视觉模型](https://github.com/OpenBMB/MiniCPM)                  | 中文<br>英文 | 3B-9B           | chat模型          |
 | CogVLM<br>CogVLM2<br>CogAgent<br>GLM4V   | [智谱ChatGLM视觉问答和Agent模型](https://github.com/THUDM/)                         | 中文<br>英文 | 9B-19B         | chat模型          |
diff --git a/docs/source/LLM/支持的模型和数据集.md b/docs/source/LLM/支持的模型和数据集.md
@@ -348,14 +348,15 @@
 |yi-vl-34b-chat|[01ai/Yi-VL-34B](https://modelscope.cn/models/01ai/Yi-VL-34B/summary)|q_proj, k_proj, v_proj|yi-vl|&#x2714;|&#x2718;|transformers>=4.34|vision|[01-ai/Yi-VL-34B](https://huggingface.co/01-ai/Yi-VL-34B)|
 |llava-llama-3-8b-v1_1|[AI-ModelScope/llava-llama-3-8b-v1_1-transformers](https://modelscope.cn/models/AI-ModelScope/llava-llama-3-8b-v1_1-transformers/summary)|q_proj, k_proj, v_proj|llava-llama-instruct|&#x2714;|&#x2718;|transformers>=4.36|vision|[xtuner/llava-llama-3-8b-v1_1-transformers](https://huggingface.co/xtuner/llava-llama-3-8b-v1_1-transformers)|
 |internlm-xcomposer2-7b-chat|[Shanghai_AI_Laboratory/internlm-xcomposer2-7b](https://modelscope.cn/models/Shanghai_AI_Laboratory/internlm-xcomposer2-7b/summary)|wqkv|internlm-xcomposer2|&#x2714;|&#x2718;||vision|[internlm/internlm-xcomposer2-7b](https://huggingface.co/internlm/internlm-xcomposer2-7b)|
+|internlm-xcomposer2_5-7b-chat|[Shanghai_AI_Laboratory/internlm-xcomposer2d5-7b](https://modelscope.cn/models/Shanghai_AI_Laboratory/internlm-xcomposer2d5-7b/summary)|wqkv|internlm-xcomposer2_5|&#x2714;|&#x2718;||vision, video|[internlm/internlm-xcomposer2d5-7b](https://huggingface.co/internlm/internlm-xcomposer2d5-7b)|
 |internvl-chat-v1_5|[AI-ModelScope/InternVL-Chat-V1-5](https://modelscope.cn/models/AI-ModelScope/InternVL-Chat-V1-5/summary)|wqkv|internvl|&#x2714;|&#x2718;|transformers>=4.35, timm|vision|[OpenGVLab/InternVL-Chat-V1-5](https://huggingface.co/OpenGVLab/InternVL-Chat-V1-5)|
 |internvl-chat-v1_5-int8|[AI-ModelScope/InternVL-Chat-V1-5-int8](https://modelscope.cn/models/AI-ModelScope/InternVL-Chat-V1-5-int8/summary)|wqkv|internvl|&#x2714;|&#x2718;|transformers>=4.35, timm|vision|[OpenGVLab/InternVL-Chat-V1-5-int8](https://huggingface.co/OpenGVLab/InternVL-Chat-V1-5-int8)|
 |mini-internvl-chat-2b-v1_5|[OpenGVLab/Mini-InternVL-Chat-2B-V1-5](https://modelscope.cn/models/OpenGVLab/Mini-InternVL-Chat-2B-V1-5/summary)|wqkv|internvl|&#x2714;|&#x2718;|transformers>=4.35, timm|vision|[OpenGVLab/Mini-InternVL-Chat-2B-V1-5](https://huggingface.co/OpenGVLab/Mini-InternVL-Chat-2B-V1-5)|
 |mini-internvl-chat-4b-v1_5|[OpenGVLab/Mini-InternVL-Chat-4B-V1-5](https://modelscope.cn/models/OpenGVLab/Mini-InternVL-Chat-4B-V1-5/summary)|qkv_proj|internvl-phi3|&#x2714;|&#x2718;|transformers>=4.35, timm|vision|[OpenGVLab/Mini-InternVL-Chat-4B-V1-5](https://huggingface.co/OpenGVLab/Mini-InternVL-Chat-4B-V1-5)|
-|internvl2-2b|[OpenGVLab/InternVL2-2B](https://modelscope.cn/models/OpenGVLab/InternVL2-2B/summary)|wqkv|internvl|&#x2714;|&#x2718;|transformers>=4.35, timm|vision|[OpenGVLab/InternVL2-2B](https://huggingface.co/OpenGVLab/InternVL2-2B)|
-|internvl2-4b|[OpenGVLab/InternVL2-4B](https://modelscope.cn/models/OpenGVLab/InternVL2-4B/summary)|wqkv|internvl|&#x2714;|&#x2718;|transformers>=4.35, timm|vision|[OpenGVLab/InternVL2-4B](https://huggingface.co/OpenGVLab/InternVL2-4B)|
-|internvl2-8b|[OpenGVLab/InternVL2-8B](https://modelscope.cn/models/OpenGVLab/InternVL2-8B/summary)|wqkv|internvl|&#x2714;|&#x2718;|transformers>=4.35, timm|vision|[OpenGVLab/InternVL2-8B](https://huggingface.co/OpenGVLab/InternVL2-8B)|
-|internvl2-26b|[OpenGVLab/InternVL2-26B](https://modelscope.cn/models/OpenGVLab/InternVL2-26B/summary)|wqkv|internvl|&#x2714;|&#x2718;|transformers>=4.35, timm|vision|[OpenGVLab/InternVL2-26B](https://huggingface.co/OpenGVLab/InternVL2-26B)|
+|internvl2-2b|[OpenGVLab/InternVL2-2B](https://modelscope.cn/models/OpenGVLab/InternVL2-2B/summary)|wqkv|internvl2|&#x2714;|&#x2718;|transformers>=4.35, timm|vision|[OpenGVLab/InternVL2-2B](https://huggingface.co/OpenGVLab/InternVL2-2B)|
+|internvl2-4b|[OpenGVLab/InternVL2-4B](https://modelscope.cn/models/OpenGVLab/InternVL2-4B/summary)|wqkv|internvl2|&#x2714;|&#x2718;|transformers>=4.35, timm|vision|[OpenGVLab/InternVL2-4B](https://huggingface.co/OpenGVLab/InternVL2-4B)|
+|internvl2-8b|[OpenGVLab/InternVL2-8B](https://modelscope.cn/models/OpenGVLab/InternVL2-8B/summary)|wqkv|internvl2|&#x2714;|&#x2718;|transformers>=4.35, timm|vision|[OpenGVLab/InternVL2-8B](https://huggingface.co/OpenGVLab/InternVL2-8B)|
+|internvl2-26b|[OpenGVLab/InternVL2-26B](https://modelscope.cn/models/OpenGVLab/InternVL2-26B/summary)|wqkv|internvl2|&#x2714;|&#x2718;|transformers>=4.35, timm|vision|[OpenGVLab/InternVL2-26B](https://huggingface.co/OpenGVLab/InternVL2-26B)|
 |deepseek-vl-1_3b-chat|[deepseek-ai/deepseek-vl-1.3b-chat](https://modelscope.cn/models/deepseek-ai/deepseek-vl-1.3b-chat/summary)|q_proj, k_proj, v_proj|deepseek-vl|&#x2714;|&#x2718;||vision|[deepseek-ai/deepseek-vl-1.3b-chat](https://huggingface.co/deepseek-ai/deepseek-vl-1.3b-chat)|
 |deepseek-vl-7b-chat|[deepseek-ai/deepseek-vl-7b-chat](https://modelscope.cn/models/deepseek-ai/deepseek-vl-7b-chat/summary)|q_proj, k_proj, v_proj|deepseek-vl|&#x2714;|&#x2718;||vision|[deepseek-ai/deepseek-vl-7b-chat](https://huggingface.co/deepseek-ai/deepseek-vl-7b-chat)|
 |paligemma-3b-pt-224|[AI-ModelScope/paligemma-3b-pt-224](https://modelscope.cn/models/AI-ModelScope/paligemma-3b-pt-224/summary)|q_proj, k_proj, v_proj|paligemma|&#x2714;|&#x2718;|transformers>=4.41|vision|[google/paligemma-3b-pt-224](https://huggingface.co/google/paligemma-3b-pt-224)|
diff --git a/docs/source/Multi-Modal/internlm-xcomposer2最佳实践.md b/docs/source/Multi-Modal/internlm-xcomposer2最佳实践.md
@@ -1,5 +1,12 @@
 
-# Internlm-Xcomposer2 最佳实践
+# Internlm-Xcomposer2 & Internlm-Xcomposer2.5 最佳实践
+
+本篇文档涉及的模型如下:
+
+- [internlm-xcomposer2-7b-chat](https://modelscope.cn/models/Shanghai_AI_Laboratory/internlm-xcomposer2-7b/summary)
+- [internlm-xcomposer2_5-7b-chat](https://modelscope.cn/models/Shanghai_AI_Laboratory/internlm-xcomposer2d5-7b/summary)
+
+以下实践以`internlm-xcomposer2-7b-chat`为例，你也可以通过指定`--model_type`切换为其他模型.
 
 ## 目录
 - [环境准备](#环境准备)
@@ -10,12 +17,14 @@
 
 ## 环境准备
 ```shell
-pip install 'ms-swift[llm]' -U
+git clone https://github.com/modelscope/swift.git
+cd swift
+pip install -e '.[llm]'
 ```
 
 ## 推理
 
-推理[internlm-xcomposer2-7b-chat](https://modelscope.cn/models/Shanghai_AI_Laboratory/internlm-xcomposer2-7b/summary):
+推理internlm-xcomposer2-7b-chat:
 ```shell
 # Experimental environment: A10, 3090, V100, ...
 # 21GB GPU memory
@@ -43,10 +52,6 @@ CUDA_VISIBLE_DEVICES=0 swift infer --model_type internlm-xcomposer2-7b-chat
 湖面平静如明镜。
 小舟轻荡波光里，
 灯火微摇映水乡。
---------------------------------------------------
-<<< clear
-<<< <img>https://modelscope-open.oss-cn-hangzhou.aliyuncs.com/images/ocr.png</img>对图片进行OCR
-很抱歉，我无法对您提供的图片进行OCR。如果您需要文本识别服务，您可以上传图片到其他支持OCR服务的平台，或者您可以尝试使用一些在线OCR工具。
 """
 ```
 
diff --git a/docs/source_en/LLM/Supported-models-datasets.md b/docs/source_en/LLM/Supported-models-datasets.md
@@ -348,14 +348,15 @@ The table below introcudes all models supported by SWIFT:
 |yi-vl-34b-chat|[01ai/Yi-VL-34B](https://modelscope.cn/models/01ai/Yi-VL-34B/summary)|q_proj, k_proj, v_proj|yi-vl|&#x2714;|&#x2718;|transformers>=4.34|vision|[01-ai/Yi-VL-34B](https://huggingface.co/01-ai/Yi-VL-34B)|
 |llava-llama-3-8b-v1_1|[AI-ModelScope/llava-llama-3-8b-v1_1-transformers](https://modelscope.cn/models/AI-ModelScope/llava-llama-3-8b-v1_1-transformers/summary)|q_proj, k_proj, v_proj|llava-llama-instruct|&#x2714;|&#x2718;|transformers>=4.36|vision|[xtuner/llava-llama-3-8b-v1_1-transformers](https://huggingface.co/xtuner/llava-llama-3-8b-v1_1-transformers)|
 |internlm-xcomposer2-7b-chat|[Shanghai_AI_Laboratory/internlm-xcomposer2-7b](https://modelscope.cn/models/Shanghai_AI_Laboratory/internlm-xcomposer2-7b/summary)|wqkv|internlm-xcomposer2|&#x2714;|&#x2718;||vision|[internlm/internlm-xcomposer2-7b](https://huggingface.co/internlm/internlm-xcomposer2-7b)|
+|internlm-xcomposer2_5-7b-chat|[Shanghai_AI_Laboratory/internlm-xcomposer2d5-7b](https://modelscope.cn/models/Shanghai_AI_Laboratory/internlm-xcomposer2d5-7b/summary)|wqkv|internlm-xcomposer2_5|&#x2714;|&#x2718;||vision, video|[internlm/internlm-xcomposer2d5-7b](https://huggingface.co/internlm/internlm-xcomposer2d5-7b)|
 |internvl-chat-v1_5|[AI-ModelScope/InternVL-Chat-V1-5](https://modelscope.cn/models/AI-ModelScope/InternVL-Chat-V1-5/summary)|wqkv|internvl|&#x2714;|&#x2718;|transformers>=4.35, timm|vision|[OpenGVLab/InternVL-Chat-V1-5](https://huggingface.co/OpenGVLab/InternVL-Chat-V1-5)|
 |internvl-chat-v1_5-int8|[AI-ModelScope/InternVL-Chat-V1-5-int8](https://modelscope.cn/models/AI-ModelScope/InternVL-Chat-V1-5-int8/summary)|wqkv|internvl|&#x2714;|&#x2718;|transformers>=4.35, timm|vision|[OpenGVLab/InternVL-Chat-V1-5-int8](https://huggingface.co/OpenGVLab/InternVL-Chat-V1-5-int8)|
 |mini-internvl-chat-2b-v1_5|[OpenGVLab/Mini-InternVL-Chat-2B-V1-5](https://modelscope.cn/models/OpenGVLab/Mini-InternVL-Chat-2B-V1-5/summary)|wqkv|internvl|&#x2714;|&#x2718;|transformers>=4.35, timm|vision|[OpenGVLab/Mini-InternVL-Chat-2B-V1-5](https://huggingface.co/OpenGVLab/Mini-InternVL-Chat-2B-V1-5)|
 |mini-internvl-chat-4b-v1_5|[OpenGVLab/Mini-InternVL-Chat-4B-V1-5](https://modelscope.cn/models/OpenGVLab/Mini-InternVL-Chat-4B-V1-5/summary)|qkv_proj|internvl-phi3|&#x2714;|&#x2718;|transformers>=4.35, timm|vision|[OpenGVLab/Mini-InternVL-Chat-4B-V1-5](https://huggingface.co/OpenGVLab/Mini-InternVL-Chat-4B-V1-5)|
-|internvl2-2b|[OpenGVLab/InternVL2-2B](https://modelscope.cn/models/OpenGVLab/InternVL2-2B/summary)|wqkv|internvl|&#x2714;|&#x2718;|transformers>=4.35, timm|vision|[OpenGVLab/InternVL2-2B](https://huggingface.co/OpenGVLab/InternVL2-2B)|
-|internvl2-4b|[OpenGVLab/InternVL2-4B](https://modelscope.cn/models/OpenGVLab/InternVL2-4B/summary)|wqkv|internvl|&#x2714;|&#x2718;|transformers>=4.35, timm|vision|[OpenGVLab/InternVL2-4B](https://huggingface.co/OpenGVLab/InternVL2-4B)|
-|internvl2-8b|[OpenGVLab/InternVL2-8B](https://modelscope.cn/models/OpenGVLab/InternVL2-8B/summary)|wqkv|internvl|&#x2714;|&#x2718;|transformers>=4.35, timm|vision|[OpenGVLab/InternVL2-8B](https://huggingface.co/OpenGVLab/InternVL2-8B)|
-|internvl2-26b|[OpenGVLab/InternVL2-26B](https://modelscope.cn/models/OpenGVLab/InternVL2-26B/summary)|wqkv|internvl|&#x2714;|&#x2718;|transformers>=4.35, timm|vision|[OpenGVLab/InternVL2-26B](https://huggingface.co/OpenGVLab/InternVL2-26B)|
+|internvl2-2b|[OpenGVLab/InternVL2-2B](https://modelscope.cn/models/OpenGVLab/InternVL2-2B/summary)|wqkv|internvl2|&#x2714;|&#x2718;|transformers>=4.35, timm|vision|[OpenGVLab/InternVL2-2B](https://huggingface.co/OpenGVLab/InternVL2-2B)|
+|internvl2-4b|[OpenGVLab/InternVL2-4B](https://modelscope.cn/models/OpenGVLab/InternVL2-4B/summary)|wqkv|internvl2|&#x2714;|&#x2718;|transformers>=4.35, timm|vision|[OpenGVLab/InternVL2-4B](https://huggingface.co/OpenGVLab/InternVL2-4B)|
+|internvl2-8b|[OpenGVLab/InternVL2-8B](https://modelscope.cn/models/OpenGVLab/InternVL2-8B/summary)|wqkv|internvl2|&#x2714;|&#x2718;|transformers>=4.35, timm|vision|[OpenGVLab/InternVL2-8B](https://huggingface.co/OpenGVLab/InternVL2-8B)|
+|internvl2-26b|[OpenGVLab/InternVL2-26B](https://modelscope.cn/models/OpenGVLab/InternVL2-26B/summary)|wqkv|internvl2|&#x2714;|&#x2718;|transformers>=4.35, timm|vision|[OpenGVLab/InternVL2-26B](https://huggingface.co/OpenGVLab/InternVL2-26B)|
 |deepseek-vl-1_3b-chat|[deepseek-ai/deepseek-vl-1.3b-chat](https://modelscope.cn/models/deepseek-ai/deepseek-vl-1.3b-chat/summary)|q_proj, k_proj, v_proj|deepseek-vl|&#x2714;|&#x2718;||vision|[deepseek-ai/deepseek-vl-1.3b-chat](https://huggingface.co/deepseek-ai/deepseek-vl-1.3b-chat)|
 |deepseek-vl-7b-chat|[deepseek-ai/deepseek-vl-7b-chat](https://modelscope.cn/models/deepseek-ai/deepseek-vl-7b-chat/summary)|q_proj, k_proj, v_proj|deepseek-vl|&#x2714;|&#x2718;||vision|[deepseek-ai/deepseek-vl-7b-chat](https://huggingface.co/deepseek-ai/deepseek-vl-7b-chat)|
 |paligemma-3b-pt-224|[AI-ModelScope/paligemma-3b-pt-224](https://modelscope.cn/models/AI-ModelScope/paligemma-3b-pt-224/summary)|q_proj, k_proj, v_proj|paligemma|&#x2714;|&#x2718;|transformers>=4.41|vision|[google/paligemma-3b-pt-224](https://huggingface.co/google/paligemma-3b-pt-224)|
diff --git a/docs/source_en/Multi-Modal/internlm-xcomposer2-best-practice.md b/docs/source_en/Multi-Modal/internlm-xcomposer2-best-practice.md
@@ -1,5 +1,12 @@
 # Internlm-Xcomposer2 Best Practice
 
+The document corresponds to the following models:
+
+- [internlm-xcomposer2-7b-chat](https://modelscope.cn/models/Shanghai_AI_Laboratory/internlm-xcomposer2-7b/summary)
+- [internlm-xcomposer2_5-7b-chat](https://modelscope.cn/models/Shanghai_AI_Laboratory/internlm-xcomposer2d5-7b/summary)
+
+The following practice takes `internlm-xcomposer2-7b-chat` as an example, and you can also switch to other models by specifying `--model_type`.
+
 ## Table of Contents
 - [Environment Preparation](#environment-preparation)
 - [Inference](#inference)
@@ -8,12 +15,14 @@
 
 ## Environment Preparation
 ```shell
-pip install 'ms-swift[llm]' -U
+git clone https://github.com/modelscope/swift.git
+cd swift
+pip install -e '.[llm]'
 ```
 
 ## Inference
 
-Inference for [internlm-xcomposer2-7b-chat](https://modelscope.cn/models/Shanghai_AI_Laboratory/internlm-xcomposer2-7b/summary):
+Inference for internlm-xcomposer2-7b-chat:
 ```shell
 # Experimental environment: A10, 3090, V100, ...
 # 21GB GPU memory
diff --git a/swift/llm/utils/model.py b/swift/llm/utils/model.py
@@ -266,6 +266,7 @@ class ModelType:
     internlm2_math_20b_chat = 'internlm2-math-20b-chat'
     # internlm-xcomposer2
     internlm_xcomposer2_7b_chat = 'internlm-xcomposer2-7b-chat'
+    internlm_xcomposer2_5_7b_chat = 'internlm-xcomposer2_5-7b-chat'
     # internvl
     internvl_chat_v1_5 = 'internvl-chat-v1_5'
     internvl_chat_v1_5_int8 = 'internvl-chat-v1_5-int8'
@@ -3787,6 +3788,15 @@ def new_get_rank(group=None):
     return model, tokenizer
 
 
+@register_model(
+    ModelType.internlm_xcomposer2_5_7b_chat,
+    'Shanghai_AI_Laboratory/internlm-xcomposer2d5-7b',
+    LoRATM.internlm2,
+    TemplateType.internlm_xcomposer2_5,
+    eos_token='<|im_end|>',
+    support_flash_attn=True,
+    tags=['multi-modal', 'vision'],
+    hf_model_id='internlm/internlm-xcomposer2d5-7b')
 @register_model(
     ModelType.internlm_xcomposer2_7b_chat,
     'Shanghai_AI_Laboratory/internlm-xcomposer2-7b',
diff --git a/swift/llm/utils/template.py b/swift/llm/utils/template.py
