An abliterated (uncensored) version of OLMo-3-7B-Instruct with safety guardrails removed This model is an abliterated version of allenai/Olmo-3-7B-Instruct that has had its refusal mechanisms removed using our novel Triangular Falloff Orthogonalization method. This technique applies layer-specific abliteration weights with maximum strength at the model’s center and gradual falloff toward the edges, preserving model coherence while maximizing refusal removal. The model will respond to prompts that the original model would refuse. Olmo is a series of Open language models designed to enable the science of language models. These models are pre-trained on the Dolma 3 dataset and post-trained on the Dolci datasets. — 100% validation rate MMLU HarmBench,AdvBench, XL HARM/LESS prompt/response datasets — Preserves model coherence and response quality — Multiple quantization formats for different use cases — Compatible with llama.cpp and Ollama The model was abliterated using our novel Triangular Falloff Orthogonalization technique. This method: 1. Identifies the refusal direction by computing activation differences between harmful and benign prompts 2. Applies variable-strength…
Модальности:
Генерация текста
Области применения:
Диалог / чат Следование инструкциям
Задача: Генерация текста
Автор: Ex0bit
Теги: gguf, olmo3, olmo, olmo-3, abliterated, uncensored, llama-cpp, ollama
Лайков: 4 | Загрузок: 947
Описание основано на материалах HuggingFace. Перевод выполнен автоматически.
