Sqweeks-7B-Instruct is based on the Qwen 2.5 7B modality architecture, designed to enhance the reasoning capabilities of 7B-parameter models. It has been fine-tuned on a synthetic dataset based on open-thoughts & general corpus reasoning entries, further optimizing its chain-of-thought (CoT) reasoning and logical problem-solving abilities. The model demonstrates significant improvements in context understanding, structured data processing, and long-context comprehension, making it ideal for complex reasoning tasks, instruction-following, and text generation. 1. Enhanced Knowledge and Expertise: Improved mathematical reasoning, coding proficiency, and structured data processing. 2. Fine-Tuned Instruction Following: Optimized for precise responses, structured outputs (e.g., JSON), and generating long texts (8K+ tokens). 3. Greater Adaptability: Better role-playing capabilities and resilience to diverse system prompts. 4. Long-Context Support: Handles up to 64K tokens and generates up to 4K tokens per output. 5. Multilingual Proficiency: Supports over 29 languages, including Chinese, English, French, Spanish, Portuguese, German, and more. — Advanced Reasoning & Context Understanding:…
Модальности:
Генерация текста
Области применения:
Диалог / чат Следование инструкциям
Задача: Генерация текста
Автор: prithivMLmods
Теги: qwen2, sqweeks, reasoner, qwen, 7b, conversational, en, text-generation-inference
Лайков: 3 | Загрузок: 42
Описание основано на материалах HuggingFace. Перевод выполнен автоматически.
