> [!warning] > Raptor X3 is based on the Qwen 2.5 14B modality architecture, designed to enhance the reasoning capabilities of 14B-parameter models. This model is optimized for advanced coding reasoning and UI coding. It excels in contextual understanding, logical deduction, and multi-step problem-solving. Raptor X3 has been fine-tuned using a long chain-of-thought reasoning model and specialized datasets to improve comprehension, structured responses, and conversational intelligence. Key improvements include: 1. Enhanced Coding Reasoning: Provides in-depth explanations and optimizations for complex coding problems, making it useful for developers and engineers. 2. Advanced UI Coding Support: Excels in generating and refining front-end code for web and mobile applications. 3. General-Purpose Coding: Capable of generating, debugging, and optimizing code across multiple programming languages, supporting software development and automation. 4. Long-Context Support: Supports up to 128K tokens for input context and can generate up to 8K tokens in a single output, making it ideal for detailed responses. 5. Multilingual Proficiency: Supports over 29 languages, including English, Chinese,…
Модальности:
Генерация текста
Области применения:
Логика и рассуждение Диалог / чат
Языки программирования:
Python Java HTML/CSS
Задача: Генерация текста
Автор: prithivMLmods
Теги: qwen2, text-generation-inference, Reasoning, Raptor, X3, Coder, Html, Css
Лайков: 3 | Загрузок: 27
Описание основано на материалах HuggingFace. Перевод выполнен автоматически.
