kmseong/llama3.2_3b_instruct-WaRP-safety-basis-MATH-FT-lr1e-7
The kmseong/llama3.2_3b_instruct-WaRP-safety-basis-MATH-FT-lr1e-7 is a 3.2 billion parameter instruction-tuned language model, based on the Llama 3.2 architecture, developed by kmseong. This model incorporates a Weight space Rotation Process (WaRP) for safety alignment and is further fine-tuned for mathematical tasks. It is designed to provide enhanced safety characteristics while maintaining performance in mathematical reasoning, making it suitable for applications requiring both robust safety and numerical accuracy.
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Model Overview
The kmseong/llama3.2_3b_instruct-WaRP-safety-basis-MATH-FT-lr1e-7 is an instruction-tuned language model built upon the Llama 3.2 architecture, featuring 3.2 billion parameters. Developed by kmseong, this model integrates a specialized Weight space Rotation Process (WaRP) for safety alignment, aiming to enhance its robustness against undesirable outputs. Following this safety alignment, the model undergoes further fine-tuning specifically for mathematical tasks, indicated by "MATH-FT".
Key Capabilities
- Safety Alignment: Utilizes the WaRP method to improve model safety characteristics.
- Mathematical Fine-Tuning: Optimized for performance in mathematical reasoning and problem-solving.
- Instruction Following: Designed to respond effectively to instructions, typical of instruct-tuned models.
Good For
- Applications requiring a balance of safety and mathematical proficiency.
- Tasks involving numerical reasoning where safety is a critical concern.
- Instruction-based interactions in domains that benefit from mathematical understanding.