update cn readme

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cuiunbo
2024-05-23 14:46:26 +08:00
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## News <!-- omit in toc -->
* [2024.05.24] We've released a comprehensive comparison between Phi-3-vision-128k-instruct and MiniCPM-Llama3-V 2.5, including benchmarks evaluations, and multilingual capabilities 🌟📊🌍. Click [here](#evaluation) to view more details.
* [2024.05.23] We've released a comprehensive comparison between Phi-3-vision-128k-instruct and MiniCPM-Llama3-V 2.5, including benchmarks evaluations, and multilingual capabilities 🌟📊🌍. Click [here](#evaluation) to view more details.
* [2024.05.20] We open-soure MiniCPM-Llama3-V 2.5, it has improved OCR capability and supports 30+ languages, representing the first edge-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!
* [2024.04.23] MiniCPM-V-2.0 supports vLLM now! Click [here](#vllm) to view more details.
* [2024.04.18] We create a HuggingFace Space to host the demo of MiniCPM-V 2.0 at [here](https://huggingface.co/spaces/openbmb/MiniCPM-V-2)!
@@ -287,7 +287,7 @@
<td>60.0</td>
<td>-</td>
</tr>
<tr>
<tr>
<td nowrap="nowrap" align="left">Phi-3-vision-128k-instruct</td>
<td>4.2B</td>
<td>639*</td>
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</details>
<div align="center">
<img src="assets/llavabench_compare_3.png" width="66%" />
<img src="assets/llavabench_compare_3.png" width="85%" />
<br>
Evaluation results of LLaVABench in multiple languages
</div>

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## 更新日志 <!-- omit in toc -->
* [2024.05.23] 我们添加了Phi-3-vision-128k-instruct与MiniCPM-Llama3-V 2.5的全面对比,包括基准测试评估和多语言能力 🌟📊🌍。点击[这里](#性能评估)查看详细信息。
<!-- * [2024.05.22] 我们进一步提升了端侧推理速度!实现了 6-8 tokens/s 的流畅体验,欢迎试用! -->
* [2024.05.20] 我们开源了 MiniCPM-Llama3-V 2.5,增强了 OCR 能力,支持 30 多种语言,并首次在端侧实现了 GPT-4V 级的多模态能力!我们提供了[高效推理](#手机端部署)和[简易微调](./finetune/readme.md)的支持,欢迎试用!
* [2024.04.23] 我们增加了对 [vLLM](#vllm) 的支持,欢迎体验!
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<td>60.0</td>
<td>-</td>
</tr>
<tr>
<td nowrap="nowrap" align="left">Phi-3-vision-128k-instruct</td>
<td>4.2B</td>
<td>639*</td>
<td>70.9</td>
<td>-</td>
<td>-</td>
<td>1537.5*</td>
<td>-</td>
<td>-</td>
<td>40.4</td>
<td>44.5</td>
<td>64.2*</td>
<td>58.8*</td>
<td>-</td>
</tr>
<tr style="background-color: #e6f2ff;">
<td nowrap="nowrap" align="left">MiniCPM-V 1.0</td>
<td>2.8B</td>
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</details>
<div align="center">
<img src="assets/llavabench_compare.png" width="66%" />
<img src="assets/llavabench_compare_3.png" width="80%" />
<br>
多语言LLaVA Bench评测结果
</div>