milkwashy
The Python half of milkwash: does an LLM paraphrase pass wash a statistical text watermark out of a document?
milkwashy takes long source texts, splits them into 2–8 sentence chunks,
rewrites every chunk through a randomly assigned rephrase prompt, and repeats
the run against every model a local OpenAI-compatible server can serve. Chunk
assembly is done by the Rust extension milkwashr.
uv pip install milkwashy
milkwashy init_config # TOML config in the platformdirs location
milkwashy gen_indata # write the four seed texts to 01-indata/
milkwashy models # list models (LM Studio via `lms`, others via /v1/models)
milkwashy plan # show the chunk + prompt plan, no inference
milkwashy run --limit 5 # sweep the 5 smallest models
Full documentation: https://github.com/twardoch/milkwash
License
Apache-2.0
1 maintainer
Release files for milkwashy 1.0.1
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Source distribution (sdist)
| File | Size | Uploaded | |
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| milkwashy-1.0.1.tar.gz | 24.7 kB | Details |
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| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| milkwashy-1.0.1-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 46.6 kB
Release files / milkwashy-1.0.1.tar.gz
| Download URL | milkwashy-1.0.1.tar.gz |
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Release files / milkwashy-1.0.1-py3-none-any.whl
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| Size | 21.9 kB |
| Tags | Python 3 |
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