This is quantized version of fearlessdots/WizardLM-2-7B-abliterated created using llama.cpp This is the WizardLM-2-7B model with orthogonalized bfloat16 safetensor weights, based on the implementation by @failspy. For more info: — Original paper preview presenting the methodology: — Jupyter notebook containing a implementation of the methodology, by @failspy: This model uses the prompt format from Vicuna and supports multi-turn conversation. 🏠 WizardLM-2 Release Blog 🤗 HF Repo •🐱 Github Repo • 🐦 Twitter • 📃 [WizardLM] • 📃 [WizardCoder] • 📃 [WizardMath] 👋 Join our Discord We introduce and opensource WizardLM-2, our next generation state-of-the-art large language models, which have improved performance on complex chat, multilingual, reasoning and agent. New family includes three cutting-edge models: WizardLM-2 8x22B, WizardLM-2 70B, and WizardLM-2 7B. — WizardLM-2 8x22B is our most advanced model, demonstrates highly competitive performance compared to those leading proprietary works and consistently outperforms all the existing state-of-the-art opensource models. — WizardLM-2 70B reaches top-tier reasoning capabilities and is the first choice in the same size. -…
Модальности:
Генерация текста
Задача: Генерация текста
Автор: QuantFactory
Теги: gguf, endpoints_compatible
Лайков: 3 | Загрузок: 1,310
Описание основано на материалах HuggingFace. Перевод выполнен автоматически.
