diff --git a/README.md b/README.md
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 #### 📌 Pinned
 
-* [2024.05.26] ⚙️ We notice some reported issues from compromising MiniCPM-Llama3-V 2.5's adaptive visual encoding with Ollama & Llama.cpp's vanilla fixed encoding implementation. We are reimplementing this part for Ollama & Llama.cpp to fully support MiniCPM-Llama3-V 2.5's feature and fix the issue. This update will hopefully be available within a day. Please stay tuned!
-* [2024.05.25] 🚀🚀🚀 MiniCPM-Llama3-V 2.5 now supports [Ollama](https://github.com/OpenBMB/ollama/tree/minicpm-v2.5/examples/minicpm-v2.5) for efficient inference. Try it now!
+* [2024.05.28] 💥 MiniCPM-Llama3-V 2.5 now fully supports its feature in [llama.cpp](https://github.com/OpenBMB/llama.cpp/blob/minicpm-v2.5/examples/minicpmv/README.md) and [ollama](https://github.com/OpenBMB/ollama/tree/minicpm-v2.5)! Please pull the latest code for llama.cpp & ollama. We also release GGUF in various sizes [here](https://huggingface.co/openbmb/MiniCPM-Llama3-V-2_5-gguf/tree/main). FAQ list for Ollama usage is comming within a day. Please stay tuned!
+* [2024.05.28] 💫 We now support LoRA finetuning for MiniCPM-Llama3-V 2.5, more memory usage statistics can be found [here](https://github.com/OpenBMB/MiniCPM-V/tree/main/finetune#model-fine-tuning-memory-usage-statistics).
 * [2024.05.23] 🔍 We've released a comprehensive comparison between Phi-3-vision-128k-instruct and MiniCPM-Llama3-V 2.5, including benchmarks evaluations, multilingual capabilities, and inference efficiency 🌟📊🌍🚀. Click [here](./docs/compare_with_phi-3_vision.md) to view more details.
 * [2024.05.23] 🔥🔥🔥 MiniCPM-V tops GitHub Trending and Hugging Face Trending! Our demo, recommended by Hugging Face Gradio’s official account, is available [here](https://huggingface.co/spaces/openbmb/MiniCPM-Llama3-V-2_5). Come and try it out!
 
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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)!
 * [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!
 * [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!
diff --git a/README_zh.md b/README_zh.md
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 #### 📌 置顶
 
-* [2024.05.26] ⚙️ 我们注意到有社区反馈在使用 Ollama & Llama.cpp 的固定分辨率编码替代 MiniCPM-Llama3-V 2.5 的自适应图像编码时出现了一些问题。我们正在为 Ollama & Llama.cpp 重新实现这一部分，以完全支持 MiniCPM-Llama3-V 2.5 的功能。此更新预计在一天内完成，请继续关注！
-* [2024.05.25] 🚀🚀🚀 MiniCPM-Llama3-V 2.5 现在支持通过 [Ollama](https://github.com/OpenBMB/ollama/tree/minicpm-v2.5/examples/minicpm-v2.5) 进行高效推理了，欢迎试用！
+* [2024.05.28] 💥 MiniCPM-Llama3-V 2.5 现在在 [llama.cpp](https://github.com/OpenBMB/llama.cpp/blob/minicpm-v2.5/examples/minicpmv/README.md) 和 [ollama](https://github.com/OpenBMB/ollama/tree/minicpm-v2.5) 中完全支持其功能！请拉取最新的 llama.cpp 和 ollama 代码。我们还发布了各种大小的 GGUF 版本，[请点击这里](https://huggingface.co/openbmb/MiniCPM-Llama3-V-2_5-gguf/tree/main)。Ollama 使用的FAQ将在一天内发布，敬请关注！
+* [2024.05.28] 💫 我们现在支持 MiniCPM-Llama3-V 2.5 的 LoRA 微调，更多内存使用统计信息可以在[这里](https://github.com/OpenBMB/MiniCPM-V/tree/main/finetune#model-fine-tuning-memory-usage-statistics)找到。
 * [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、多语言能力和推理效率 🌟📊🌍🚀。点击[这里](./docs/compare_with_phi-3_vision.md)查看详细信息。
 * [2024.05.23] 🔥🔥🔥 MiniCPM-V 在 GitHub Trending 和 Hugging Face Trending 上登顶！MiniCPM-Llama3-V 2.5 Demo 被 Hugging Face 的 Gradio 官方账户推荐，欢迎点击[这里](https://huggingface.co/spaces/openbmb/MiniCPM-Llama3-V-2_5)体验！