> 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/new.md). # New - [Unsloth Updates](https://unsloth.ai/docs/new/changelog.md): Unsloth Changelog for our latest releases, improvements and fixes. - [Introducing Unsloth Studio](https://unsloth.ai/docs/new/studio.md): Run and train AI models locally with Unsloth Studio. - [Get started with Unsloth Studio](https://unsloth.ai/docs/new/studio/start.md): A guide for getting started with the fine-tuning studio, data recipes, model exporting, and chat. - [How to Run models with Unsloth](https://unsloth.ai/docs/new/studio/chat.md): Run AI models, LLMs and GGUFs locally with Unsloth Studio. - [Unsloth Studio Installation](https://unsloth.ai/docs/new/studio/install.md): Manually install Unsloth Studio, or download the separate Unsloth Desktop app. - [Unsloth Data Recipes](https://unsloth.ai/docs/new/studio/data-recipe.md): Learn how to create, build and edit datasets with Unsloth Studio's Data Recipes. - [Export models with Unsloth Studio](https://unsloth.ai/docs/new/studio/export.md): Learn how to export your safetensor or LoRA model files to GGUF or other formats. - [Security in Unsloth](https://unsloth.ai/docs/new/studio/security.md) - [Sandboxing in Unsloth](https://unsloth.ai/docs/new/studio/sandboxing-in-unsloth.md): Unsloth uses bubblewrap on Linux, Seatbelt on macOS, and MXC on Windows. --- # 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/new.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.