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Quasar 3.0 Instract V2
Quasar-3.0-7B is the distilled version of the upcoming 400B Quasar 3.0 model, showcasing the early strength and potential of the Quasar architecture.
Downloads 314
Release Time : 4/6/2025
Model Overview
Built based on the techniques from the 'Golden Formula in Inference' paper, utilizing the TTM (Token Temperature Mechanism) training process and the best reinforcement learning formula to optimize inference and context focus.
Model Features
TTM Training Mechanism
Innovative Token Temperature Mechanism that optimizes inference and context focus capabilities during training.
Reinforcement Learning Optimization
Applied what the authors consider to be the best reinforcement learning training formula to date.
Architecture Potential Showcase
The 7B version has already demonstrated the competitiveness of the Quasar architecture, hinting at the powerful capabilities of the upcoming 400B full model.
Model Capabilities
Text Generation
Complex Reasoning
Context Understanding
Use Cases
AI Research and Development
Model Architecture Research
Study the effects of the novel TTM training mechanism and reinforcement learning formula.
Can serve as a reference implementation for new training methods.
Commercial Applications
Intelligent Assistant
Build dialogue systems requiring complex reasoning capabilities.
Inference: May provide more accurate context understanding and responses.
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