AI正在发生 未来正在更新MiMo-V2.6-Distill-Qwen-9B
MiMo-V2.6-Distill-Qwen-9B is a 9B agentic model developed by Xiaomi MiMo through supervised fine-tuning of Qwen3.5-9B on MiMo-generated data. It covers coding, general-purpose agent tasks, visual coding, and cybersecurity. We release this SFT checkpoint as a starting point for open research in agentic reinforcement learning. Results for the released SFT checkpoint, as reported in the MiMo-V2.6 technical report. The weighted SFT data mixture contains 77.4B total tokens, including 27.2B loss-bearing tokens.
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MiMo-V2.6-Distill-Qwen-9B is a 9B agentic model developed by Xiaomi MiMo through supervised fine-tuning of Qwen3.5-9B on MiMo-generated data. It covers coding, general-purpose agent tasks, visual coding, and cybersecurity. We release this SFT checkpoint as a starting point for open research in agentic reinforcement learning. Results for the released SFT checkpoint, as reported in the MiMo-V2.6 technical report. The weighted SFT data mixture contains 77.4B total tokens, including 27.2B loss-bearing tokens.