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@@ -492,7 +492,7 @@ pip install -r requirements.txt
| 模型 | 设备 | 资源 |          简介 | 下载链接 |
|:--------------|:-:|:----------:|:-------------------|:---------------:|
| MiniCPM-Llama3-V 2.5| GPU | 19 GB | 最新版本，提供最佳的端侧多模态理解能力。 | [🤗](https://huggingface.co/openbmb/MiniCPM-Llama3-V-2_5/) &nbsp;&nbsp; [<img src="./assets/modelscope_logo.png" width="20px"></img>](https://modelscope.cn/models/OpenBMB/MiniCPM-Llama3-V-2_5) |
| MiniCPM-Llama3-V 2.5 gguf| CPU | 5 GB | gguf 版本,更低的内存占用和更高的推理效率。 | [🤗](https://huggingface.co/openbmb/MiniCPM-Llama3-V-2_5-gguf) &nbsp;&nbsp; [<img src="./assets/modelscope_logo.png" width="20px"></img>](https://modelscope.cn/models/OpenBMB/MiniCPM-Llama3-V-2_5-gguf) |
| MiniCPM-Llama3-V 2.5 gguf| CPU | 5 GB | gguf 版本，更低的内存占用和更高的推理效率。 | [🤗](https://huggingface.co/openbmb/MiniCPM-Llama3-V-2_5-gguf) &nbsp;&nbsp; [<img src="./assets/modelscope_logo.png" width="20px"></img>](https://modelscope.cn/models/OpenBMB/MiniCPM-Llama3-V-2_5-gguf) |
| MiniCPM-Llama3-V 2.5 int4 | GPU | 8 GB | int4量化版，更低显存占用。 | [🤗](https://huggingface.co/openbmb/MiniCPM-Llama3-V-2_5-int4/) &nbsp;&nbsp; [<img src="./assets/modelscope_logo.png" width="20px"></img>](https://modelscope.cn/models/OpenBMB/MiniCPM-Llama3-V-2_5-int4) |
| MiniCPM-V 2.0 | GPU | 8 GB | 轻量级版本，平衡计算开销和多模态理解能力。 | [🤗](https://huggingface.co/openbmb/MiniCPM-V-2) &nbsp;&nbsp; [<img src="./assets/modelscope_logo.png" width="20px"></img>](https://modelscope.cn/models/OpenBMB/MiniCPM-V-2) |
| MiniCPM-V 1.0 | GPU | 7 GB | 最轻量版本， 提供最快的推理速度。 | [🤗](https://huggingface.co/openbmb/MiniCPM-V) &nbsp;&nbsp; [<img src="./assets/modelscope_logo.png" width="20px"></img>](https://modelscope.cn/models/OpenBMB/MiniCPM-V) |