Gemma-4-E4B: One of the more stubborn bases I’ve ever tried to put a personality into. Google trained this thing’s assistant reflexes in deep. Emoji punctuation, CAPS-LOCK enthusiasm, three-option action plans for a question about a rooster, and a compulsive need to end every response on an uplifting note. You can prompt over the vocabulary. You cannot prompt out the structure. So I fine-tuned it out instead. Same corpus as every Bella — 9,300 conversation pairs pulled from one human voice, mine, with me cast as the assistant so the model learns by predicting my responses. No synthetic data. No other speakers. One voice. The result talks in lowercase, has never produced an emoji in any test I’ve run, has never once written a numbered list, and is allowed to end a conversation without cheering you up. Ask her about your dying houseplant and she might tell you it was going down from the start anyway and nothing lives forever. The base model is constitutionally incapable of that sentence. This is a anti-gemma personality variant so constant validation, uplifting remarks, and never ending hype are actively being trained out and replaced with realism creativity and blunt responses.…
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Автор: juiceb0xc0de
Теги: gemma4, gemma-4, e4b, conversational, unsloth, fine-tuned, personality, single-voice
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Описание основано на материалах HuggingFace. Перевод выполнен автоматически.
