---
title: Weight-Space-Programmed Qwen3.5-0.8B
emoji: 🧠
colorFrom: blue
colorTo: green
sdk: gradio
app_file: app.py
pinned: false
tags:
- ml-intern
- weight-space-programming
---

# 🧠 Weight-Space-Programmed Qwen3.5-0.8B

[![Built with ML Intern](https://huggingface.co/datasets/huggingface/badges/resolve/main/built-with-ml-intern-sm.svg)](https://hf.co/chat?mode=ml-intern)

Live demo of the model from **["Sparks of Weight Space Programming"](https://rikiyat.github.io/blog/weight-space-programming/)** —
Qwen3.5-0.8B with 131,072 weights hand-edited by an LLM (no training) to remove its repetition-loop
pathology. Type a math problem and watch the base model loop while the edited model solves it.

- Model: [akhaliq/Qwen3.5-0.8B-weight-space-programming](https://huggingface.co/akhaliq/Qwen3.5-0.8B-weight-space-programming) (bit-exact, sha256-verified rebuild of the post's p50c edit)
- Logs/diffs: [RikiyaT/lm_understand-logs](https://github.com/RikiyaT/lm_understand-logs)
- Verified: full MATH-500 (500 × 4) — edited model **51.0%** acc, **31.6%** truncated (post: 48.1 / 33.1); base 5% / 95% on a 25-problem smoke (post: 7.9 / 93.0). Raw scores in `eval/` of the model repo