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MiniCPM-V 4.0 <a href="https://huggingface.co/openbmb/MiniCPM-V-4">🤗</a> <a href="https://minicpm-v.openbmb.cn/"> 🤖</a> | MiniCPM-o 2.6 <a href="https://huggingface.co/openbmb/MiniCPM-o-2_6">🤗</a> <a href="https://minicpm-omni-webdemo-us.modelbest.cn/"> 🤖</a> | MiniCPM-V 2.6 <a href="https://huggingface.co/openbmb/MiniCPM-V-2_6">🤗</a> <a href="http://120.92.209.146:8887/">🤖</a> | <a href="https://github.com/OpenSQZ/MiniCPM-V-CookBook">🍳 Cookbook</a> |
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📄 Technical Blog [<a href="https://openbmb.notion.site/MiniCPM-o-2-6-A-GPT-4o-Level-MLLM-for-Vision-Speech-and-Multimodal-Live-Streaming-on-Your-Phone-185ede1b7a558042b5d5e45e6b237da9">English</a>/<a href="https://openbmb.notion.site/MiniCPM-o-2-6-GPT-4o-188ede1b7a558084b3aedd669cb80730">中文</a>]
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### Simple Fine-tuning <!-- omit in toc -->
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We support simple fine-tuning with Hugging Face for MiniCPM-o 2.6, MiniCPM-V 2.6, MiniCPM-Llama3-V 2.5 and MiniCPM-V 2.0.
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We support simple fine-tuning with Hugging Face for MiniCPM-V 4.0, MiniCPM-o 2.6, MiniCPM-V 2.6, MiniCPM-Llama3-V 2.5 and MiniCPM-V 2.0.
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[Reference Document](./finetune/readme.md)
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We support fine-tuning MiniCPM-o 2.6 and MiniCPM-V 2.6 with the LLaMA-Factory framework. LLaMA-Factory provides a solution for flexibly customizing the fine-tuning (Lora/Full/Qlora) of 200+ LLMs without the need for coding through the built-in web UI LLaMABoard. It supports various training methods like sft/ppo/dpo/kto and advanced algorithms like Galore/BAdam/LLaMA-Pro/Pissa/LongLoRA.
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Best Practices: [MiniCPM-o 2.6 | MiniCPM-V 2.6](./docs/llamafactory_train_and_infer.md).
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Best Practices: [MiniCPM-V 4.0 | MiniCPM-o 2.6 | MiniCPM-V 2.6](./docs/llamafactory_train_and_infer.md).
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### With the SWIFT Framework <!-- omit in toc -->
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