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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 # 📌 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 * [./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！ * 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 * [./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。 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) ## <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。 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 # 📌 Others
## Model Conversion ## 🔧 Model Conversion
* [./scripts/convert_model.py](./scripts/convert_model.py) enables mutual conversion of `torch / transformers` models * [./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! * 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. * [./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) ## <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. vLLM is an extremely popular efficient inference framework supporting fast deployment of large models, optimizing GPU memory usage and throughput.