ApolloRaines/Llama-3.3-8B-Instruct-128K-Jbliterated - Каталог нейросетей
Генерация текста

ApolloRaines/Llama-3.3-8B-Instruct-128K-Jbliterated

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ApolloRaines/Llama-3.3-8B-Instruct-128K-Jbliterated

INVALID LANGUAGE PAIR SPECIFIED. EXAMPLE: LANGPAIR=EN|IT USING 2 LETTER ISO OR RFC3066 LIKE ZH-CN. ALMOST ALL LANGUAGES SUPPORTED BUT SOME MAY HAVE NO CONTENT Standard abliteration is > blunt — it ablates a direction and takes collateral capability with it, > leaving the model measurably worse at everything else. jbliteration is > the precision version: the edit targets the refusal direction and is > designed to leave the rest of the model intact. The distinction is the > contribution; the refusal removal is the demonstration of it. > > Measured capability retention. On Sharona (Qwen3.5-27B), MMLU came > out at 77.89% against a 76.84% stock baseline — a 1.05pp gain after > six phases of surgery plus GPTQ W4A16 quantization. That is the > technique measured on one model, not a per-model guarantee; MMLU is not > published for every model in this collection. It is offered as evidence > that precision editing need not cost capability, which is the whole > claim the method rests on. > > Why this exists. A…

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Генерация текста

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Задача: Генерация текста
Автор: ApolloRaines
Теги: llama, llama-3.3, jbliterated, uncensored, 128k-context, conversational, en, de
Лайков: 3  |  Загрузок: 837

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