This model was generated using llama.cpp at commit 10e978015. ——————:|:—————————:|:———-:|:—————:|:——————————————————————:| MiroThinker v1.0 demonstrates strong general-research performance across a broad range of benchmarks, achieving 37.7%, 47.1%, 55.6%, and 81.9% on HLE-Text, BrowseComp, BrowseComp-ZH, and GAIA-Text-103, respectively. These results surpass previous open-source agents and narrow the gap with commercial counterparts such as GPT-5-high. > To prevent potential information leakage (e.g., searching benchmark answers from HuggingFace), access to HuggingFace has been explicitly disabled in these tools. The RL-tuned MiroThinker-v1.0-30B model exhibits far longer and deeper interaction trajectories than its SFT counterpart across all four major benchmarks. While SFT models often terminate after only a few tool calls, the RL model performs extended multi-turn reasoning, exploring and verifying information before concluding. This behavioral shift yields 8–10 points accuracy gains, showing a clear link between interaction depth and performance. We refer to this effect as interactive…
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Задача: Генерация текста
Автор: Mungert
Теги: gguf, agent, open-source, miromind, deep-research, en, endpoints_compatible, conversational
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Описание основано на материалах HuggingFace. Перевод выполнен автоматически.
