neuqrui/EOPSA-DeepSeek-R1-7B
neuqrui/EOPSA-DeepSeek-R1-7B is a 7.6 billion parameter causal language model, a safety-aligned checkpoint of DeepSeek-R1-Distill-Qwen-7B. It utilizes the Efficient On-Policy Self-Distilled Safety Alignment (EOPSA) method. This model is specifically designed for enhanced safety performance, making it suitable for applications requiring robust content moderation and responsible AI interactions. It supports a context length of 32768 tokens.
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EOPSA-DeepSeek-R1-7B: Safety-Aligned Language Model
This model, neuqrui/EOPSA-DeepSeek-R1-7B, is a 7.6 billion parameter language model derived from the DeepSeek-R1-Distill-Qwen-7B architecture. Its primary distinction lies in its safety alignment, achieved through the Efficient On-Policy Self-Distilled Safety Alignment (EOPSA) method. This process aims to enhance the model's ability to generate safe and responsible outputs.
Key Capabilities
- Safety Alignment: Specifically trained using the EOPSA method to improve safety performance.
- DeepSeek-R1-Distill-Qwen-7B Base: Built upon a robust 7B parameter foundation.
- Extended Context Window: Supports a context length of 32768 tokens, allowing for processing longer inputs and maintaining conversational coherence over extended interactions.
Good For
- Applications requiring robust safety: Ideal for use cases where mitigating harmful or biased outputs is critical.
- Research into safety alignment techniques: Provides a practical example of the EOPSA method in action.
- General language generation tasks: Can be used for various NLP tasks where a safety-conscious model is preferred.