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README.md
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@@ -126,6 +126,7 @@
- [Inference on Mac](#inference-on-mac)
- [Efficient Inference with llama.cpp, ollama, vLLM](#efficient-inference-with-llamacpp-ollama-vllm)
- [Fine-tuning](#fine-tuning)
- [Awesome work using MiniCPM-V \& MiniCPM-o](#awesome-work-using-minicpm-v--minicpm-o)
- [FAQs](#faqs)
- [Limitations](#limitations)
@@ -2563,6 +2564,9 @@ We now support MiniCPM-V series fine-tuning with the SWIFT framework. SWIFT supp
Best Practices：[MiniCPM-V 1.0](https://github.com/modelscope/swift/blob/main/docs/source/Multi-Modal/minicpm-v最佳实践.md), [MiniCPM-V 2.0](https://github.com/modelscope/swift/blob/main/docs/source/Multi-Modal/minicpm-v-2最佳实践.md), [MiniCPM-V 2.6](https://github.com/modelscope/ms-swift/issues/1613).
## Awesome work using MiniCPM-V & MiniCPM-o
## FAQs
Click here to view the [FAQs](./docs/faqs.md)

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- [Mac 推理](#mac-推理)
- [基于 llama.cpp、ollama、vLLM 的高效推理](#基于-llamacppollamavllm-的高效推理)
- [微调](#微调)
- [基于 MiniCPM-V \& MiniCPM-o 的更多项目](#基于-minicpm-v--minicpm-o-的更多项目)
- [FAQs](#faqs)
- [模型局限性](#模型局限性)
@@ -2449,6 +2450,11 @@ pip install vllm
参考文档：[MiniCPM-V 1.0](https://github.com/modelscope/swift/blob/main/docs/source/Multi-Modal/minicpm-v最佳实践.md)，[MiniCPM-V 2.0](https://github.com/modelscope/swift/blob/main/docs/source/Multi-Modal/minicpm-v-2最佳实践.md) [MiniCPM-V 2.6](https://github.com/modelscope/ms-swift/issues/1613).
## 基于 MiniCPM-V & MiniCPM-o 的更多项目
## FAQs
点击查看 [FAQs](./docs/faqs.md)