QwQ-SuperNatural-3B is a Qwen2.5-based supernatural model designed to provide context-based supernatural responses from the input it receives. It has 3 billion parameters and is a domain-specific, supervised fine-tuned model. The model demonstrates significant improvements in instruction following, generating long texts (over 8K tokens), understanding structured data (e.g., tables), and generating structured outputs, especially in JSON format. It is also more resilient to the diversity of system prompts, enhancing role-play implementation and condition-setting for chatbots. Here provides a code snippet with applychattemplate to show you how to load the tokenizer and model and how to generate contents. QwQ-SuperNatural-3B is designed for: 1. Role-play and interactive chatbots: It excels in generating contextually relevant and engaging supernatural-themed responses. 2. Long-form content generation: Its capability to handle over 8,000 tokens makes it suitable for generating detailed narratives, articles, or creative writing. 3. Structured data understanding: The model can process and interpret structured inputs such as tables, schemas, and JSON formats, making it useful for…
Модальности:
Генерация текста
Области применения:
Диалог / чат
Задача: Генерация текста
Автор: prithivMLmods
Теги: qwen2, SuperNatural, QwQ, conversational, en, text-generation-inference, endpoints_compatible
Лайков: 3 | Загрузок: 26
Описание основано на материалах HuggingFace. Перевод выполнен автоматически.
