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* feat: add modifier base class * feat: re-implement abliteration as a modifier plugin * fix: adjust good/bad prompts hack to match tests * feat: support dataset specifications containing multiple individual datasets * feat: re-implement ARA as a modifier plugin Arbitrary-Rank Ablation (ARA) (Weidmann 2026) was originally introduced by @p-e-w in #211 Co-authored-by: kabachuha <artemkhrapov2001@yandex.ru> Co-authored-by: joninco <joninco@bullpoint.org> Co-authored-by: Ashar <coder3101@users.noreply.github.com> * feat: add tests for ARA * feat: reduce default number of trials * ci: remove broken "semantic-pull-request" workflow * ci: add yet another alternative model hash --------- Co-authored-by: kabachuha <artemkhrapov2001@yandex.ru> Co-authored-by: joninco <joninco@bullpoint.org> Co-authored-by: Ashar <coder3101@users.noreply.github.com>
8 lines
594 B
Plaintext
8 lines
594 B
Plaintext
2f1b4d75d067bae3fe44e676721c7f077d243bc007156cb9c2f8b5836613d082 *chat_template.jinja
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ca80080dfa4ec6ba87152fa2b9afe70b90c400e5c4b1d6bdc3aa3114467ca68f *config.json
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70070bac883cf9c39b5992450d6b23cd160eaf33099e24c654e0359d2f87c760 *generation_config.json
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9ff0593e3fbd0ba463bbc980ebb3ed34798e562b606f90cd93c2df5403732c7b *model.safetensors
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32bdf45d2ad4cc29a0822ddd157a182de76644f0419a6228d151495256e9813c *processor_config.json
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cc8d3a0ce36466ccc1278bf987df5f71db1719b9ca6b4118264f45cb627bfe0f *tokenizer.json
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a1bab8c81ed15fa6ce912ec993c66cb49392e0487fb1ea5f5f11ea3618683627 *tokenizer_config.json
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