Viper-OneCoder-UIGEN is based on the Qwen 2.5 14B modality architecture, designed to be the best for web development and structured coding logic. It has been fine-tuned on a synthetic dataset leveraging the latest coding logits and CoT datasets, further optimizing its step-by-step logic breakdown and front-end problem-solving abilities. The model demonstrates significant improvements in context understanding, structured UI development, and long-context comprehension, making it ideal for web-based coding tasks, HTML/CSS/Tailwind development, and detailed instruction following. 1. Best-in-Class Web Development Proficiency: Advanced understanding of HTML, CSS, Tailwind, JavaScript, and front-end frameworks. 2. Fine-Tuned Step-by-Step Logic Breakdown: Optimized for structured explanations, component-based UI coding, and logic-driven development. 3. Advanced Instruction Following: Delivers precise responses, structured outputs (e.g., JSON, YAML), and extended text generation (8K+ tokens). 4. Long-Context Mastery: Handles up to 128K tokens with an output capability of 8K tokens per response. 5. Multilingual Code Support: Excels in HTML, CSS, JavaScript, React, Tailwind CSS, Python, and…
Модальности:
Генерация текста
Области применения:
Диалог / чат Генерация кода
Задача: Генерация текста
Автор: prithivMLmods
Теги: qwen2, text-generation-inference, coder, trl, sft, conversational, en, endpoints_compatible
Лайков: 3 | Загрузок: 35
Описание основано на материалах HuggingFace. Перевод выполнен автоматически.
