QWQ R1 [Reasoning] Distill 1.5B CoT is a fine-tuned language model designed for advanced reasoning and instruction-following tasks. It leverages the Qwen2.5 R1 Distill from the DeepSeek base model and has been fine-tuned on chain-of-thought (CoT) reasoning datasets, focusing on CoT reasoning for problem-solving. This model is optimized for tasks requiring logical reasoning, detailed explanations, and multi-step problem-solving, making it ideal for applications such as instruction-following, text generation, and complex reasoning tasks. Here provides a code snippet with applychattemplate to show you how to load the tokenizer and model and how to generate contents. QWQ R1 [Reasoning] Distill 1.5B CoT is specifically designed for tasks requiring advanced reasoning, structured thinking, and detailed explanations. Its intended applications include: 1. Instruction-Following Tasks: Performing step-by-step tasks based on user instructions. 2. Logical Reasoning: Solving problems that demand multi-step logical processing and inference. 3. Text Generation: Crafting coherent and contextually appropriate text for various domains. 4. Educational Tools: Assisting in learning environments,…
Модальности:
Генерация текста
Области применения:
Диалог / чат
Задача: Генерация текста
Автор: prithivMLmods
Теги: qwen2, QwQ, Distill, R1, Deepseek, Qwen2.5, text-generation-inference, conversational
Лайков: 4 | Загрузок: 49
Описание основано на материалах HuggingFace. Перевод выполнен автоматически.
