> 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-zhi-shi/unsloth-environment-flags.md). # Unsloth 环境标志高级标志；如果你遇到微调损坏，或者想关闭某些功能，它们可能会有用。

环境变量	用途
`os.environ["UNSLOTH_RETURN_LOGITS"] = "1"`	强制返回 logits——如果需要 logits，这在评估时很有用。
`os.environ["UNSLOTH_COMPILE_DISABLE"] = "1"`	禁用自动编译器。对于调试不正确的微调结果可能很有用。
`os.environ["UNSLOTH_DISABLE_FAST_GENERATION"] = "1"`	为通用模型禁用快速生成。
`os.environ["UNSLOTH_ENABLE_LOGGING"] = "1"`	启用自动编译器日志——有助于查看哪些函数被编译了，哪些没有。
`os.environ["UNSLOTH_FORCE_FLOAT32"] = "1"`	在 float16 机器上，使用 float32 而不是 float16 混合精度。对 Gemma 3 很有用。
`os.environ["UNSLOTH_STUDIO_DISABLED"] = "1"`	禁用额外功能。
`os.environ["UNSLOTH_COMPILE_DEBUG"] = "1"`	开启极其详细的 `torch.compile`日志。
`os.environ["UNSLOTH_COMPILE_MAXIMUM"] = "0"`	启用最大 `torch.compile`优化——不推荐。
`os.environ["UNSLOTH_COMPILE_IGNORE_ERRORS"] = "1"`	可以关闭此项以启用 fullgraph 解析。
`os.environ["UNSLOTH_FULLGRAPH"] = "0"`	启用 `torch.compile` fullgraph 模式
`os.environ["UNSLOTH_DISABLE_AUTO_UPDATES"] = "1"`	强制不向 `unsloth-zoo`

另一种可能是我们上传的模型上传文件已损坏，但可能性不大。请尝试以下方法： ```python model, tokenizer = FastVisionModel.from_pretrained( "Qwen/Qwen2-VL-7B-Instruct", use_exact_model_name = True, ) ``` --- # 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 by asking a question. Perform an HTTP GET request on the following URL with the `ask` and `goal` query parameters: ``` GET https://unsloth.ai/docs/zh/ji-chu-zhi-shi/unsloth-environment-flags.md?ask=&goal= ``` `ask` is the immediate question: it should be specific, self-contained, and written in natural language. `goal` is what the user is ultimately trying to achieve, the reason they need the answer. Sharing it helps GitBook give you a better, more relevant answer. A goal is most helpful when it describes the outcome the user wants rather than restating the question. For example, with `ask=how do I create an API token`, a goal like `automate deployments from our CI pipeline` lets GitBook tailor the answer to that use case. 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.