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Download README.md from ML-Intern-lab/weight-space-programming-demo: direct link, hf CLI and curl.
- Browser
- Download file 1.2 kB
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https://huggingface.co/spaces/ML-Intern-lab/weight-space-programming-demo/resolve/main/README.md
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hf download hf://spaces/ML-Intern-lab/weight-space-programming-demo/README.md
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curl -L -o README.md https://huggingface.co/spaces/ML-Intern-lab/weight-space-programming-demo/resolve/main/README.md
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A newer version of the Gradio SDK is available: 6.31.0
metadata
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
Live demo of the model from "Sparks of 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 (bit-exact, sha256-verified rebuild of the post's p50c edit)
- Logs/diffs: 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