---
title: Neural DOOM
emoji: 💀
colorFrom: red
colorTo: purple
sdk: gradio
sdk_version: 6.15.2
app_file: app.py
pinned: true
license: gpl-2.0
tags:
  - track:wood
  - achievement:offgrid
  - achievement:welltuned
  - achievement:offbrand
  - achievement:fieldnotes
---
Social Media Post and Demo Video: https://www.linkedin.com/posts/dean-byrne-02a28b191_neural-doom-for-hugging-face-hackathon-small-ugcPost-7472216018354982912-rqvG/?utm_source=share&utm_medium=member_desktop&rcm=ACoAAC0RumIBxlIKTkKv5tF-hb2OU7TdZ19kxcQ
Weights: https://huggingface.co/Quazim0t0/neural-x86-doom/tree/main/models
# Neural DOOM

id Software's 1993 DOOM running on an i386 core whose every datapath unit is a
neural network verified bit-exact over its complete input domain. A full frame
(5,952,699 instructions) replayed fully neurally was bit-identical to the
golden run — framebuffer and all 128 MB of machine state. Weights, binary, WAD
and the title-frame snapshot are pulled from a private repo via the HF_TOKEN
Space secret. ZeroGPU re-verifies all 13 units exhaustively on demand.