llm-weights

nesformer 是一个开源项目，通过编译器将 NES 的 6502 CPU、2KB RAM 与卡带 ROM 直接编译进一个未经训练的 Qwen3.5 模型权重中，让模型逐 token 预测 CPU 执行日志来运行《超级马力欧》等游戏，且帧输出与传统模拟器完全一致。

This paper demonstrates that compiling agentic workflow procedures into the weights of a small fine-tuned model achieves near-frontier quality at 128–462× cost reduction compared to in-context baselines, addressing perceived barriers of quality, cost, and flexibility.