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Cursa O1 7b V1.1
This is a pre-trained language model fused using the SLERP method, combining the strengths of both the pre-cursa-o1-v1.2 and post-cursa-o1 models.
Downloads 40
Release Time : 2/28/2025
Model Overview
This model is a pre-trained language model fused via Spherical Linear Interpolation (SLERP), designed to combine the advantages of two base models to enhance language understanding and generation capabilities.
Model Features
Model Fusion
Uses SLERP to fuse two pre-trained models, balancing their respective strengths
Layer-wise Parameter Adjustment
Applies different fusion parameters to different layers (e.g., self_attn, mlp)
Model Capabilities
Text Generation
Language Understanding
Contextual Reasoning
Use Cases
Natural Language Processing
Text Generation
Can be used to generate coherent text content
Question Answering Systems
Applied in building QA systems to understand and answer user questions
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