> For the complete documentation index, see [llms.txt](https://unsloth.ai/docs/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://unsloth.ai/docs/zh/ji-chu/inference-and-deployment.md). # 推理与部署了解如何保存你微调后的模型，以便在你喜欢的推理引擎中运行。你也可以使用以下方式运行你的微调模型 [Unsloth 的 2 倍更快推理](/docs/zh/ji-chu/inference-and-deployment/unsloth-inference.md).


Unsloth Studio 聊天	Studio Chat
llama.cpp - 保存为 GGUF	GGUF & llama.cpp	GGUF & llama.cpp
Unsloth API 端点	Unsloth API
vLLM	vLLM	vLLM
Ollama	Ollama	Ollama
连接到提供商	Connect a Provider
SGLang	SGLang	vLLM 引擎参数
故障排除	推理故障排除	推理故障排除
llama-server 和 OpenAI 端点	llama-server
NVFP4

--- # Agent Instructions This documentation is published with GitBook. GitBook is the documentation platform designed so that both humans and AI agents can read, navigate, and reason over technical content effectively. Learn more at gitbook.com. ## 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, and the optional `goal` query parameter: ``` GET https://unsloth.ai/docs/zh/ji-chu/inference-and-deployment.md?ask=&goal= ``` `ask` is the immediate question: it should be specific, self-contained, and written in natural language. `goal` is optional and describes the broader end goal you are ultimately trying to accomplish on behalf of the user. GitBook uses it to tailor the answer towards what is most useful for that goal. 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.