HarethahMo/qwen2.5-3B-extended-refusal

Model Overview

The HarethahMo/qwen2.5-3B-extended-refusal is a 3.1 billion parameter language model built upon the Qwen2.5 architecture. This model's core differentiator is its extended refusal capability, which is engineered to significantly improve its ability to identify and decline inappropriate, harmful, or out-of-scope requests. While specific training details, datasets, and performance benchmarks are not provided in the current model card, the emphasis is clearly on enhancing safety and alignment through refined refusal mechanisms.

Key Characteristics

• Architecture: Qwen2.5 base model.
• Parameter Count: 3.1 billion parameters.
• Context Length: Supports a context length of 32768 tokens.
• Primary Focus: Enhanced refusal capabilities for improved safety and controlled output generation.

Intended Use Cases

This model is particularly suited for applications where robust content moderation and the prevention of undesirable outputs are critical. While the model card indicates "More Information Needed" for direct and downstream uses, its design suggests utility in:

• Safe AI Assistants: Developing chatbots or virtual assistants that can reliably refuse harmful or inappropriate queries.
• Content Filtering: Aiding in the automatic filtering of user-generated content.
• Controlled Generation: Ensuring generated text adheres to specific safety guidelines and avoids sensitive topics when instructed.

Users should be aware that detailed information regarding its development, training, and specific performance metrics is currently limited, as indicated by the "More Information Needed" sections in the model card.