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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.
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# **Colab Demo**
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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.
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# **SuperNatural Colab Demo**
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