AutoWeight
Repair a fine-tuning regression in a local Hugging Face checkpoint while preserving behavior you want to keep. AutoWeight tests proposed weight edits on development examples and exports a standard Transformers checkpoint when one selected edit passes a separate confirmation set.
Try the offline demo
Use Python 3.11 or newer on macOS or Linux.
uv tool install 'auto-weight[hf,mcp]'
auto-weight demo
The demo generates a tiny model locally, runs two scripted edits, and prints the scores and the exported model path. For a pip installation, use python -m pip install 'auto-weight[hf,mcp]' in an active virtual environment.
Repair your own model
Bring a local safetensors checkpoint and labeled development and confirmation sets. For Codex or Claude Code, run auto-weight setup-runtime --input-root /path/to/repair-inputs using your existing input directory, then load the AutoWeight plugin from the repository. For terminal use, run auto-weight repair with a local Ollama proposer or use the manual proposal commands.
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Release files for auto-weight 0.4.0
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| File | Size | Uploaded | Provenance | Actions |
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| File | Interpreter | ABI | Platform | Actions Reset |
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| auto_weight-0.4.0-py3-none-any.whl | Python 3 | none | any | Details for auto_weight-0.4.0-py3-none-any.whl |
Total release size: 81.2 kB
Release files / auto_weight-0.4.0.tar.gz
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