This is an OmniDimen-2-8B-Emotion fine-tune, produced at the request of redaihf through P-E-W’s Heretic (v1.1.0) abliteration engine with Magnitude-Preserving Orthogonal Ablation enabled. If your goal is only model deployment, we recommend using the GGUF format — it offers higher inference efficiency and a simpler model workflow. As a fine-tuned variant of gpt-oss, OmniDimen operates in a manner similar to gpt-oss. The code of gpt-oss has been in the latest Hugging Face transformers and we advise you to use the latest version of transformers. The following contains a code snippet illustrating how to use the model generate content based on given inputs. For deployment, you can use sglang>=0.4.6.post1 or vllm>=0.8.5 or to create an OpenAI-compatible API endpoint: — SGLang: — Before initiating emotional interactions with OmniDimen, it is recommended to inform the model of the user’s identity (e.g., how OmniDimen should address the user). This approach can effectively reduce OmniDimen’s AI hallucinations. — Model is emotion-focused. It may not perform as broadly as the base model. — Use responsibly with sensitive content. Our development requires a great deal of human and material…
Модальности:
Генерация текста
Области применения:
Диалог / чат
Задача: Генерация текста
Автор: MuXodious
Теги: llama, heretic, uncensored, decensored, abliterated, conversational, zh, en
Лайков: 3 | Загрузок: 22
Описание основано на материалах HuggingFace. Перевод выполнен автоматически.
