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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>
7 lines
506 B
Plaintext
7 lines
506 B
Plaintext
39a23a1a28f68acd747373fa688bea630021ec4db2bc8dec2fd3962240fb0418 *chat_template.jinja
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35e3ad5aeaa78984629ceba6c22a4236b4c21d6959485900da2a5a98ea7e4062 *config.json
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2ec7a17f55287d482ca956f5acff44d9e88f6c7fd5ec06c7c33d641afa9af330 *generation_config.json
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0cdea9064dcbe6db666f9d42a283d664c133d4c67a2f6ea0fd863a54f522160c *model.safetensors
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3cf3a6d9520f195638a36f0194239d817de7288710bca55f1f5753de226748f7 *tokenizer.json
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388b47e61cb40f2fd51a89999053686ab4c45b40b43c0329d15645f5910d069e *tokenizer_config.json
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