Megatron-Opus-14B-Exp is based on the Qwen 2.5 14B modality architecture, designed to enhance the reasoning capabilities of 14B-parameter models. It has been fine-tuned on a Synthetic dataset entries based on one half of Qwen’s QWQ and DeepSeek R1, 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. Advanced Reasoning & Logic: Optimized for multi-step problem-solving, logical deduction, and contextual analysis. 2. Fine-Tuned Instruction Following: Generates precise responses, structured outputs (e.g., JSON), and extended long-form text (8K+ tokens). 3. Greater Adaptability: Excels in role-playing, multi-turn dialogues, and diverse system prompts. 4. Long-Context Support: Handles up to 128K tokens and generates up to 8K tokens per output. 5. Multilingual Proficiency: Supports over 29 languages, including Chinese, English, French, Spanish, Portuguese, German, and more. — Advanced Logical & Analytical Reasoning:…
Модальности:
Генерация текста
Области применения:
Математика Логика и рассуждение Диалог / чат
Задача: Генерация текста
Автор: prithivMLmods
Теги: qwen2, Reasoning, Math, text-generation-inference, eXP, conversational, en, endpoints_compatible
Лайков: 3 | Загрузок: 26
Описание основано на материалах HuggingFace. Перевод выполнен автоматически.
