> For the complete documentation index, see [llms.txt](https://docs.xynq.ai/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.xynq.ai/models/jaguar.md). # Jaguar **Jaguar** is XYNQ's flagship in-house model and the default in the terminal. ### Overview Jaguar is a general-purpose assistant tuned for balanced reasoning, coding, and long-form writing. It aims to be thorough without being verbose, and it's the recommended starting point for most tasks. ### Strengths * **Reasoning:** multi-step problem solving, planning, and analysis. * **Coding:** writing, explaining, and debugging across common languages. * **Writing:** structured long-form content, summaries, and rewrites. * **Instruction following:** respects formatting and constraints reliably. ### When to use Jaguar * You're not sure which model to pick. * The task needs careful, multi-step thinking. * You want a single model for a mixed workload. ### Serving profile Jaguar is the most broadly replicated model on the mesh, so it generally has the most available capacity and the steadiest latency. As the flagship, it receives priority placement on high-VRAM nodes. --- # 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: ``` GET https://docs.xynq.ai/models/jaguar.md?ask= ``` 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.