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update readme
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README_en.md
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README_en.md
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<br>
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* [2024.06.03] Now, you can run MiniCPM-Llama3-V 2.5 on multiple low VRAM GPUs(12 GB or 16 GB) by distributing the model's layers across multiple GPUs. For more details, Check this [link](https://github.com/OpenBMB/MiniCPM-V/blob/main/docs/inference_on_multiple_gpus.md).
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* [2024.05.25] MiniCPM-Llama3-V 2.5 now supports streaming outputs and customized system prompts. Try it [here](https://huggingface.co/openbmb/MiniCPM-Llama3-V-2_5#usage)!
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* [2024.05.24] We release the MiniCPM-Llama3-V 2.5 [gguf](https://huggingface.co/openbmb/MiniCPM-Llama3-V-2_5-gguf), which supports [llama.cpp](#inference-with-llamacpp) inference and provides a 6~8 token/s smooth decoding on mobile phones. Try it now!
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* [2024.05.20] We open-soure MiniCPM-Llama3-V 2.5, it has improved OCR capability and supports 30+ languages, representing the first end-side MLLM achieving GPT-4V level performance! We provide [efficient inference](#deployment-on-mobile-phone) and [simple fine-tuning](./finetune/readme.md). Try it now!
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## 🌟 Star History
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<div>
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<img src="./assets/Star-History.png" width="500em" ></img>
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</div>
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<picture>
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<source
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media="(prefers-color-scheme: dark)"
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srcset="
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https://api.star-history.com/svg?repos=OpenBMB/MiniCPM-V&type=Date&theme=dark
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"
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/>
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<source
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media="(prefers-color-scheme: light)"
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srcset="
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https://api.star-history.com/svg?repos=OpenBMB/MiniCPM-V&type=Date
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"
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/>
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<img
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alt="Star History Chart"
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src="https://api.star-history.com/svg?repos=OpenBMB/MiniCPM-V&type=Date"
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/>
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</picture>
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## Citation
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