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README.md
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@ -1665,13 +1665,13 @@ MiniMind模型本身预训练数据集小的可怜，也没有针对性的对测
# 📌 Others
## 模型转换
## 🔧 模型转换
* [./scripts/convert_model.py](./scripts/convert_model.py)可以实现`torch / transformers`模型的互相转换
* 如无特别说明，`MiniMind2`模型均默认为`Transformers`格式的模型，需提前`t2t`转换！
## 基于MiniMind-API服务接口
## 🖥️ 基于MiniMind-API服务接口
* [./scripts/serve_openai_api.py](./scripts/serve_openai_api.py)完成了兼容openai-api的最简聊天接口，方便将自己的模型接入第三方UI
例如FastGPT、OpenWebUI、Dify等等。
@ -1712,6 +1712,14 @@ MiniMind模型本身预训练数据集小的可怜，也没有针对性的对测
}'
```
## 👨‍💻 更多
* <a href="https://github.com/jingyaogong/minimind/discussions/618">🔗从MiniMind-LLM微调扩散语言模型</a>
* <a href="https://github.com/jingyaogong/minimind/discussions/611">🔗模型的generate方法说明</a>
---
## <img src="https://avatars.githubusercontent.com/u/136984999" height="28" style="vertical-align: middle;"/> [vllm](https://github.com/vllm-project/vllm)
vLLM是极其流行的高效推理框架，支持大模型快速部署，优化显存利用与吞吐量。

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@ -1599,14 +1599,14 @@ Models generally achieve baseline performance due to small parameter scales and
# 📌 Others
## Model Conversion
## 🔧 Model Conversion
* [./scripts/convert_model.py](./scripts/convert_model.py) enables mutual conversion of `torch / transformers` models
* Unless otherwise specified, `MiniMind2` models are by default in `Transformers` format and require `t2t` conversion beforehand!
## OpenAI-API Based MiniMind Service Interface
## 🖥️ OpenAI-API Based MiniMind Service Interface
* [./scripts/serve_openai_api.py](./scripts/serve_openai_api.py) provides extremely simple OpenAI-API compatible chat interface, convenient for integration with third-party UIs like FastGPT, Open-WebUI, Dify, etc.
@ -1646,6 +1646,13 @@ Models generally achieve baseline performance due to small parameter scales and
}'
```
## 👨‍💻 More
* <a href="https://github.com/jingyaogong/minimind/discussions/618">🔗Fine-tuning Diffusion Language Models from MiniMind-LLM</a>
* <a href="https://github.com/jingyaogong/minimind/discussions/611">🔗Model generate method explanation</a>
---
## <img src="https://avatars.githubusercontent.com/u/136984999" height="28" style="vertical-align: middle;"/> [vllm](https://github.com/vllm-project/vllm)
vLLM is an extremely popular efficient inference framework supporting fast deployment of large models, optimizing GPU memory usage and throughput.