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AI Model2026
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Qwythos-9B

A 9B reasoning LLM fine-tuned from Qwen3.5 that ships with a 1,048,576-token context, native function-calling and tool-use, and notable benchmark gains (+34 MMLU, +30 gsm8k-strict).

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Introduction

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[next-mdx-remote-client] error compiling MDX: Expected a closing tag for `<tool_call>` (8:42-8:53) before the end of `paragraph` 6 | 7 | - 1M-token context out of the box: YaRN rope-scaling extends the native 262k window to ~1,048,576 tokens, enabling whole-repo reasoning, multi-document synthesis, and long agentic trajectories without RAG chunking. > 8 | - Tool-first design: emits Qwen3.5-style <tool_call> blocks natively. Evaluated with a python_executor + web_search harness and produced correct, source-cited answers on 7/7 hard factual prompts. | ^ 9 | - Measured reasoning lift: +34 points MMLU mean, +30 pts on gsm8k-strict vs. the Qwen3.5-9B base under matched evaluation settings. 10 | - Deployment-aware: includes sampling recommendations (T=0.6, top_p=0.95, top_k=20, repetition_penalty=1.05), large max_new_tokens budgets for the model's `<think>` reasoning block, and vLLM/SGLang serving notes for 1M contexts. More information: https://mdxjs.com/docs/troubleshooting-mdx

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Information

  • Websitehuggingface.co
  • OrganizationsEmpero, Alibaba / Qwen team
  • Published date2026/06/19

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