Hongji Zhu

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Thanks for your contribution,we will review this PR soon.

已支持[vLLM](https://github.com/OpenBMB/MiniCPM-V?tab=readme-ov-file#vllm) 推理,欢迎试用~

We released the more powerful [MiniCPM-Llama3-V 2.5](https://github.com/OpenBMB/MiniCPM-V/blob/main/README_en.md#minicpm-llama3-v-25) today,which has 8.5B parameters and much better performance, the int4 version is [here](https://github.com/OpenBMB/MiniCPM-V/blob/main/README_en.md#model-zoo). Welcome to use.

目前模型在文字全文识别时能力有限,针对各个字段单独提问效果好很多。近期我们也将更新提升全文识别能力,敬请关注~

我们发布了更强大的[MiniCPM-Llama3-V 2.5](https://github.com/OpenBMB/MiniCPM-V/tree/main?tab=readme-ov-file#minicpm-llama3-v-25), 文字识别能力显著提升,欢迎关注~

你好,vLLM有自己的显存管理机制,api模式初始化LLM时默认gpu_memory_utilization=0.9,所以用了22.5G,代码见:https://github.com/vllm-project/vllm/blob/main/vllm/entrypoints/llm.py#L93

感谢关注!近期我们将会有新的版本发布,敬请期待~

> > 请问VLLM 0.4.2报Model architectures ['MiniCPMV'] are not supported for now 应该怎么解决,VLLM版本降级吗? 目前MiniCPM-V 2.0暂未合入官方vllm,请从https://github.com/OpenBMB/vllm 编译使用

@yayafengzi @zRzRzRzRzRzRzR 更大参数版本MiniCPM-Llama3-V 2.5现已发布,更大更强,欢迎关注

We will release the technical report in weeks, please stay tuned.