Hugging Face Overview
Model Overview
The wxgeorge/facebook-Meta-SecAlign-70B is a 70 billion parameter language model resulting from a merge operation. It combines two distinct models from Meta: Llama-3.3-70B-Instruct and Meta-SecAlign-70B.
Key Capabilities
- Instruction Following: Inherits the advanced instruction-following capabilities from the
Llama-3.3-70B-Instructbase model. - Security Alignment: Integrates the security alignment features of
Meta-SecAlign-70B, aiming to produce more secure and responsible outputs. - Merged Architecture: Utilizes the Passthrough merge method via
mergekit, preserving the characteristics of both constituent models.
Use Cases
This model is particularly well-suited for applications that require:
- General-purpose language generation and understanding.
- Tasks where adherence to security protocols and responsible AI principles is paramount.
- Development of AI systems that need to balance performance with safety and alignment considerations.
Technical Details
The merge was performed using mergekit with a Passthrough merge method and bfloat16 data type, ensuring a direct combination of the source models' weights.