This model is a fine-tuned version of facebook/opt-2.7b on about 80k WhatsApp/text messages (mine). Please use responsibly 🙂 — Exploring to see how OPT does in terms of dialogue/conversational applications — Seems to do a lot better than GPT-Neo with similar training parameters — you can create your own digital clone and deploy it leveraging this repository I am working on. As this model file is 10+ GB, it can impose some constraints with lower RAM runtimes and/or download speeds. To help with this issue, a sharded checkpoint of this model is available here. The pszemraj/opt-peter-2.7B-sharded model can be used as a drop-in replacement for this one for all use cases. > The base model has a custom license that propagates to this one. Most importantly, it cannot be used commercially. Read more here: facebook/opt-2.7b — the model is probably too large to use via API here. Use in Python with GPU RAM / CPU RAM > 12 GB, Colab notebook linked above. — alternatively, you can message a bot on telegram where I test LLMs for dialogue generation — any statements or claims made by this model do not reflect actual claims/statements by me. Keep in mind it is a fine-tuned version of the model on…
Модальности:
Генерация текста
Задача: Генерация текста
Автор: pszemraj
Теги: opt, generated_from_trainer, OPT, non-commercial, dialogue, chatbot, ai-msgbot, text-generation-inference
Лайков: 2 | Загрузок: 29
Описание основано на материалах HuggingFace. Перевод выполнен автоматически.
