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Download README.md from ML-Intern-lab/weight-space-programming-demo: direct link, hf CLI and curl.
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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
1.2 kB
| 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 | |
| [](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 | |