Using [LLaMA C++][llm] release [b5580][llm-rel] for quantization. > Qwen3 is the latest generation of large language models in Qwen series, offering a comprehensive suite of dense and mixture-of-experts (MoE) models. Built upon extensive training, Qwen3 delivers groundbreaking advancements in reasoning, instruction-following, agent capabilities, and multilingual support, with the following key features: > > — Uniquely support of seamless switching between thinking mode (for complex logical reasoning, math, and coding) and non-thinking mode (for efficient, general-purpose dialogue) within single model, ensuring optimal performance across various scenarios. > — Significantly enhancement in its reasoning capabilities, surpassing previous QwQ (in thinking mode) and Qwen2.5 instruct models (in non-thinking mode) on mathematics, code generation, and commonsense logical reasoning. > — Superior human preference alignment, excelling in creative writing, role-playing, multi-turn dialogues, and instruction following, to deliver a more natural, engaging, and immersive conversational experience. > — Expertise in agent capabilities, enabling precise integration with external tools in both…
Модальности:
Генерация текста
Области применения:
Диалог / чат
Задача: Генерация текста
Автор: eaddario
Теги: gguf, quant, experimental, en, endpoints_compatible, imatrix, conversational
Лайков: 4 | Загрузок: 363
Описание основано на материалах HuggingFace. Перевод выполнен автоматически.
