# 推理与部署

你还可以通过以下方式运行你的微调模型 [Unsloth 的 2 倍更快推理](https://unsloth.ai/docs/zh/ji-chu/inference-and-deployment/unsloth-inference).

<table data-card-size="large" data-view="cards"><thead><tr><th></th><th data-hidden data-card-target data-type="content-ref"></th><th data-hidden data-type="content-ref"></th></tr></thead><tbody><tr><td><a href="../../xin-zeng/studio#run-models-locally">Unsloth Studio 聊天</a></td><td><a href="../xin-zeng/studio/chat">chat</a></td><td></td></tr><tr><td><a href="inference-and-deployment/saving-to-gguf">llama.cpp - 保存为 GGUF</a></td><td><a href="inference-and-deployment/saving-to-gguf">saving-to-gguf</a></td><td><a href="inference-and-deployment/saving-to-gguf">saving-to-gguf</a></td></tr><tr><td><a href="inference-and-deployment/vllm-guide">vLLM</a></td><td><a href="inference-and-deployment/vllm-guide">vllm-guide</a></td><td><a href="inference-and-deployment/vllm-guide">vllm-guide</a></td></tr><tr><td><a href="inference-and-deployment/saving-to-ollama">Ollama</a></td><td><a href="inference-and-deployment/saving-to-ollama">saving-to-ollama</a></td><td><a href="inference-and-deployment/saving-to-ollama">saving-to-ollama</a></td></tr><tr><td><a href="inference-and-deployment/lm-studio">LM Studio</a></td><td><a href="inference-and-deployment/lm-studio">lm-studio</a></td><td></td></tr><tr><td><a href="inference-and-deployment/sglang-guide">SGLang</a></td><td><a href="inference-and-deployment/sglang-guide">sglang-guide</a></td><td><a href="inference-and-deployment/vllm-guide/vllm-engine-arguments">vllm-engine-arguments</a></td></tr><tr><td><a href="inference-and-deployment/troubleshooting-inference">故障排除</a></td><td><a href="inference-and-deployment/troubleshooting-inference">troubleshooting-inference</a></td><td><a href="inference-and-deployment/troubleshooting-inference">troubleshooting-inference</a></td></tr><tr><td><a href="inference-and-deployment/llama-server-and-openai-endpoint">llama-server 和 OpenAI 端点</a></td><td><a href="inference-and-deployment/llama-server-and-openai-endpoint">llama-server-and-openai-endpoint</a></td><td></td></tr><tr><td><a href="tool-calling-guide-for-local-llms">工具调用</a></td><td><a href="tool-calling-guide-for-local-llms">tool-calling-guide-for-local-llms</a></td><td></td></tr><tr><td><a href="inference-and-deployment/deploy-llms-phone">在你的手机上运行 LLM</a></td><td><a href="inference-and-deployment/deploy-llms-phone">deploy-llms-phone</a></td><td></td></tr></tbody></table>


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# Agent Instructions: Querying This Documentation

If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question.

Perform an HTTP GET request on the current page URL with the `ask` query parameter:

```
GET https://unsloth.ai/docs/zh/ji-chu/inference-and-deployment.md?ask=<question>
```

The question should be specific, self-contained, and written in natural language.
The response will contain a direct answer to the question and relevant excerpts and sources from the documentation.

Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.