Someone built a 32-bit RISC-V CPU directly inside Qwen's model weights so it can execute instructions internaly!

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Summary

有人在Qwen模型权重中直接构建了一台32位RISC-V CPU,使其能够在模型内部执行指令,这可能对工具调用和计算机操作能力产生影响。

This might have implications for tool calling and computer use. Write-up: https://divagr.com/blog/qwenputer HF: https://huggingface.co/divagr1925/Qwen3.5-4B-Qwenputer Live demo: https://modelscope.ai/studios/Spartan1925/Qwenputer
Original Article

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Qwenputer: A functioning, deterministic RISC-V CPU inside Qwen3.5

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Qwenputer is an experimental Qwen 3.5 4B model with a fully functioning, deterministic RISC-V CPU compiled into its weights, using the model's own Gated DeltaNet layers as exact RAM to run arithmetic, C and MicroPython entirely within forward passes — no tools or external runtime needed.

@tobi: https://x.com/tobi/status/2116265341990891599

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Qwenputer:在 Qwen3.5-4B 权重内部嵌入完整 RISC-V CPU,利用模型自身的 Gated DeltaNet 层充当内存,可在前向传播中直接运行 C 和 MicroPython,无需外部运行时。在 DeepMind 数学基准上达到 97.5–100% 的成绩。

I ran Doom inside the Qwen model weights!

Reddit r/LocalLLaMA

作者受到 qwenputer 项目启发,在 Qwen 模型权重内构建的虚拟机上成功运行了基础版 Doom,虽然速度很慢,但实现了「在 LLM 上跑 Doom」的趣味演示,并开源了项目仓库。