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Qwenputer

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Headlines · 4

  1. Forth Interpreter Embedded in Nemotron 3.5 Lightning Weights

    Reddit author /u/Mr_Finious reports adding an untrained 27-layer Forth interpreter network alongside an unchanged NVIDIA Nemotron 3.5 Lightning model. The interpreter executes each Forth word as the model generates it, with all 765,734 tested machine tokens matching a Python reference. LoRA fine-tuning raised the author's score on a 600-problem held-out test from 79.1% to 92.1%, although the model trails Python on long integers and is not intended for production.

    r/LocalLLaMA · 🔥 0
  2. nesformer Compiles an NES CPU Into Qwen3.5 Weights

    The nesformer project uses a compiler to produce a standard Qwen3_5ForCausalLM checkpoint containing an emulated NES 6502 CPU, 2 KB of work RAM and cartridge program ROM, rather than training the model on those weights. During play, the model predicts the CPU execution log one token at a time, while a host program handles rendering, controller input and vblank interrupts. The project reports frame-level agreement with a conventional 6502 emulator for its bundled tests, but execution takes roughly 1–6 seconds per frame, and the PPU and APU remain outside the weights.

    Hacker News 首页（100+ 分） · 🔥 0
  3. Developer adds an in-model RISC-V processor to Qwen3.5-4B

    Developer Divyansh Agrawal says Qwenputer compiles a deterministic RV32IM processor into Qwen3.5-4B, using Gated DeltaNet state as memory to perform arithmetic and run C and MicroPython code during model forward passes. In developer-reported tests, Qwenputer scored 97.5% on large-integer multiplication, compared with 55% for the base model. IT之家 reports that the model is about 18.8GB and that some operations may take several seconds. Model weights and code are available on Hugging Face, ModelScope and GitHub.

    Hacker News 首页（100+ 分） · 🔥 0
  4. Developer Runs Basic Doom in Qwenputer Virtual Machine

    Developer /u/mapestree reports running a basic version of Doom inside a virtual machine created in the earlier qwenputer project post. The developer published a repository under the name qwenputer-doom, said the implementation was quite slow, and described the result as “Doom running on an LLM.”

    r/LocalLLaMA · 🔥 0

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