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thinking-model

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Modular AI framework for TCG logic, featuring UROE v2 resolution engine, stress-proof edge-case handling, and dual-personality coaching agents.

  • Updated Jun 6, 2026

平时我们接触到问题后的分解都是基于经验归纳总结得出认知范围内的满意解,现在提出一种方法能够以推理演绎的方式、从系统论角度出发找到问题的所有解,再去找最优解,后者的思考方式和科学研究的思考方式如出一辙,但如果将这种思考方式和求解方式迁移到工程与现实问题,我觉得是很有意思的事情。

  • Updated Sep 8, 2026
  • Python

Containerized vLLM 0.28.0 + Qwen3-1.7B thinking model on NVIDIA DGX Spark (GB10, sm_121, 128GB unified memory). Reasoning parser qwen3 splits the think block from the user answer (message.reasoning vs message.content). Includes scripts to launch, tail logs, and run a think/content split test, plus an architecture manual and HANDOFF notes.

  • Updated Sep 5, 2026
  • Shell

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