Qwen2.5-14B-Instruct-Uncensored
| Property | Value |
|---|---|
| Base Model | Qwen2.5-14B-Instruct |
| Parameters | 14 Billion |
| Author | Orion-zhen |
| Model Link | Hugging Face |
What is Qwen2.5-14B-Instruct-Uncensored?
Qwen2.5-14B-Instruct-Uncensored is a modified version of the Qwen2.5-14B-Instruct model, specifically fine-tuned to remove content restrictions. The model is designed to operate with broader response capabilities when used with a specific system prompt configuration.
Implementation Details
The model leverages the architecture of Qwen2.5-14B-Instruct as its foundation, incorporating specialized fine-tuning using an unalignment dataset. A key technical aspect is the requirement for a specific system prompt configuration to enable its full capabilities.
- Based on the 14B parameter Qwen2.5 architecture
- Custom fine-tuning with unalignment dataset
- Requires specific system prompt configuration
Core Capabilities
- Unrestricted response generation
- Maintains base model's language understanding abilities
- Customizable behavior through system prompt
- Enhanced freedom in content generation
Frequently Asked Questions
Q: What makes this model unique?
This model's uniqueness lies in its unrestricted nature, achieved through specific fine-tuning of the Qwen2.5-14B-Instruct base model with an unalignment dataset. It requires a particular system prompt configuration to fully utilize its capabilities.
Q: What are the recommended use cases?
The model is designed for applications requiring unrestricted language generation capabilities. Users should carefully consider ethical implications and appropriate use cases when implementing this model.
