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README.md
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@@ -13,7 +13,7 @@ Join our <a href="docs/wechat.md" target="_blank"> 💬 WeChat</a>
<p align="center">
MiniCPM-Llama3-V 2.5 <a href="https://huggingface.co/openbmb/MiniCPM-Llama3-V-2_5/">🤗</a> <a href="https://huggingface.co/spaces/openbmb/MiniCPM-Llama3-V-2_5">🤖</a> |
MiniCPM-V 2.0 <a href="https://huggingface.co/openbmb/MiniCPM-V-2/">🤗</a> <a href="https://huggingface.co/spaces/openbmb/MiniCPM-V-2">🤖</a> |
<a href="https://openbmb.vercel.app/minicpm-v-2-en"> Technical Blog </a>
<a href="https://openbmb.vercel.app/minicpm-v-2-en"> MiniCPM-V 2.0 Technical Blog </a> | <a href=https://github.com/OpenBMB/MiniCPM-V/tree/main/docs/MiniCPM_Llama3_V_25_technical_report.pdf>MiniCPM-Llama3-V 2.5 Technical Report</a>
</p>
</div>
@@ -29,6 +29,7 @@ Join our <a href="docs/wechat.md" target="_blank"> 💬 WeChat</a>
## News <!-- omit in toc -->
#### 📌 Pinned
* [2024.08.03] MiniCPM-Llama3-V 2.5 technical report is released! See [here](./docs/MiniCPM_Llama3_V_25_technical_report.pdf).
* [2024.07.19] MiniCPM-Llama3-V 2.5 supports vLLM now! See [here](#vllm).
* [2024.05.28] 🚀🚀🚀 MiniCPM-Llama3-V 2.5 now fully supports its feature in llama.cpp and ollama! Please pull the latest code **of our provided forks** ([llama.cpp](https://github.com/OpenBMB/llama.cpp/blob/minicpm-v2.5/examples/minicpmv/README.md), [ollama](https://github.com/OpenBMB/ollama/tree/minicpm-v2.5/examples/minicpm-v2.5)). GGUF models in various sizes are available [here](https://huggingface.co/openbmb/MiniCPM-Llama3-V-2_5-gguf/tree/main). MiniCPM-Llama3-V 2.5 series is **not supported by the official repositories yet**, and we are working hard to merge PRs. Please stay tuned!
* [2024.05.28] 💫 We now support LoRA fine-tuning for MiniCPM-Llama3-V 2.5, using only 2 V100 GPUs! See more statistics [here](https://github.com/OpenBMB/MiniCPM-V/tree/main/finetune#model-fine-tuning-memory-usage-statistics).
@@ -61,6 +62,7 @@ Join our <a href="docs/wechat.md" target="_blank"> 💬 WeChat</a>
- [Inference](#inference)
- [Model Zoo](#model-zoo)
- [Multi-turn Conversation](#multi-turn-conversation)
- [Inference on Multiple GPUs](#inference-on-multiple-gpus)
- [Inference on Mac](#inference-on-mac)
- [Deployment on Mobile Phone](#deployment-on-mobile-phone)
- [Inference with llama.cpp](#inference-with-llamacpp)

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README_en.md
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@@ -13,7 +13,7 @@ Join our <a href="docs/wechat.md" target="_blank"> 💬 WeChat</a>
<p align="center">
MiniCPM-Llama3-V 2.5 <a href="https://huggingface.co/openbmb/MiniCPM-Llama3-V-2_5/">🤗</a> <a href="https://huggingface.co/spaces/openbmb/MiniCPM-Llama3-V-2_5">🤖</a> |
MiniCPM-V 2.0 <a href="https://huggingface.co/openbmb/MiniCPM-V-2/">🤗</a> <a href="https://huggingface.co/spaces/openbmb/MiniCPM-V-2">🤖</a> |
<a href="https://openbmb.vercel.app/minicpm-v-2-en"> Technical Blog </a>
<a href="https://openbmb.vercel.app/minicpm-v-2-en"> MiniCPM-V 2.0 Technical Blog </a> | <a href=https://github.com/OpenBMB/MiniCPM-V/tree/main/docs/MiniCPM_Llama3_V_25_technical_report.pdf>MiniCPM-Llama3-V 2.5 Technical Report</a>
</p>
</div>
@@ -29,6 +29,7 @@ Join our <a href="docs/wechat.md" target="_blank"> 💬 WeChat</a>
## News <!-- omit in toc -->
#### 📌 Pinned
* [2024.08.03] MiniCPM-Llama3-V 2.5 technical report is released! See [here](./docs/MiniCPM_Llama3_V_25_technical_report.pdf).
* [2024.07.19] MiniCPM-Llama3-V 2.5 supports vLLM now! See [here](#vllm).
* [2024.05.28] 🚀🚀🚀 MiniCPM-Llama3-V 2.5 now fully supports its feature in llama.cpp and ollama! Please pull the latest code **of our provided forks** ([llama.cpp](https://github.com/OpenBMB/llama.cpp/blob/minicpm-v2.5/examples/minicpmv/README.md), [ollama](https://github.com/OpenBMB/ollama/tree/minicpm-v2.5/examples/minicpm-v2.5)). GGUF models in various sizes are available [here](https://huggingface.co/openbmb/MiniCPM-Llama3-V-2_5-gguf/tree/main). MiniCPM-Llama3-V 2.5 series is **not supported by the official repositories yet**, and we are working hard to merge PRs. Please stay tuned!
* [2024.05.28] 💫 We now support LoRA fine-tuning for MiniCPM-Llama3-V 2.5, using only 2 V100 GPUs! See more statistics [here](https://github.com/OpenBMB/MiniCPM-V/tree/main/finetune#model-fine-tuning-memory-usage-statistics).
@@ -61,6 +62,7 @@ Join our <a href="docs/wechat.md" target="_blank"> 💬 WeChat</a>
- [Inference](#inference)
- [Model Zoo](#model-zoo)
- [Multi-turn Conversation](#multi-turn-conversation)
- [Inference on Multiple GPUs](#inference-on-multiple-gpus)
- [Inference on Mac](#inference-on-mac)
- [Deployment on Mobile Phone](#deployment-on-mobile-phone)
- [Inference with llama.cpp](#inference-with-llamacpp)

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README_zh.md
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@@ -14,7 +14,9 @@
<p align="center">
MiniCPM-Llama3-V 2.5 <a href="https://huggingface.co/openbmb/MiniCPM-Llama3-V-2_5/">🤗</a> <a href="https://huggingface.co/spaces/openbmb/MiniCPM-Llama3-V-2_5">🤖</a> |
MiniCPM-V 2.0 <a href="https://huggingface.co/openbmb/MiniCPM-V-2/">🤗</a> <a href="https://huggingface.co/spaces/openbmb/MiniCPM-V-2">🤖</a> |
<a href="https://openbmb.vercel.app/minicpm-v-2">MiniCPM-V 2.0 技术博客</a>
<a href="https://openbmb.vercel.app/minicpm-v-2">MiniCPM-V 2.0 技术博客</a> |
<a href=https://github.com/OpenBMB/MiniCPM-V/tree/main/docs/MiniCPM_Llama3_V_25_technical_report.pdf>MiniCPM-Llama3-V 2.5 技术报告</a>
</p>
</div>
@@ -32,6 +34,7 @@
#### 📌 置顶
* [2024.08.03] MiniCPM-Llama3-V 2.5 技术报告已发布！欢迎点击[这里](./docs/MiniCPM_Llama3_V_25_technical_report.pdf)查看。
* [2024.07.19] MiniCPM-Llama3-V 2.5 现已支持[vLLM](#vllm) ！
* [2024.05.28] 💥 MiniCPM-Llama3-V 2.5 现在在 llama.cpp 和 ollama 中完全支持其功能！**请拉取我们最新的 fork 来使用**：[llama.cpp](https://github.com/OpenBMB/llama.cpp/blob/minicpm-v2.5/examples/minicpmv/README.md) & [ollama](https://github.com/OpenBMB/ollama/tree/minicpm-v2.5/examples/minicpm-v2.5)。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)查看。请注意，**目前官方仓库尚未支持 MiniCPM-Llama3-V 2.5**，我们也正积极推进将这些功能合并到 llama.cpp & ollama 官方仓库，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。
@@ -65,6 +68,7 @@
- [推理](#推理)
- [模型库](#模型库)
- [多轮对话](#多轮对话)
- [多卡推理](#多卡推理)
- [Mac 推理](#mac-推理)
- [手机端部署](#手机端部署)
- [本地WebUI Demo部署](#本地webui-demo部署)

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