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Cutting overused stock phrases from local AI fiction drafts: what the Antislop paper and sampler…
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What this guide covers
Source note for fiction writers using local models who want to cut repeated stock phrases. It lines up what the Antislop paper and its sampler repository state about profiling, phrase lists, backtracking and fine-tuning, with page locators. It is desk reading only: nothing was installed or run, and the result figures are the authors' own.
More about this guide
Guide ID: art_01M6M8C0V3H35FFCDD168227HR
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Guide title
Cutting overused stock phrases from local AI fiction drafts: what the Antislop paper and sampler document
Coverage
Source note for fiction writers using local models who want to cut repeated stock phrases. It lines up what the Antislop paper and its sampler repository state about profiling, phrase lists, backtracking and fine-tuning, with page locators. It is desk reading only: nothing was installed or run, and the result figures are the authors' own.
Useful starting points
- Profile your own drafts against a baseline before banning any phrase; the sampler README says its shipped phrase list is mostly auto-generated and not carefully curated.
- Regex bans in the sampler do not work with streaming output, so turn streaming off if you use them.
- The paper's quality figures are model-judged on the authors' setup, so reread your output by eye for new tics.
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