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Quasar 3.0 Final
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Quasar 3.0 Final

Developed by silx-ai
Quasar-3.0-Max is a 7B parameter distilled model provided by SILX INC, showcasing the early potential of the Quasar architecture with innovative TTM training process and reinforcement learning techniques.
Large Language Model
Transformers
#Token Temperature Mechanism#Reinforcement Learning Optimization#Efficient Inference
Downloads 118
Release Time : 4/6/2025

Model Overview

Quasar-3.0-Max is a distilled model built based on the techniques from the 'Golden Formula in Inference' paper, utilizing Token Temperature Mechanism (TTM) to optimize inference and context focus, and applying reinforcement learning training formulas.

Model Features

Token Temperature Mechanism (TTM)
Innovative training process that optimizes inference and context focus capabilities
Reinforcement Learning Training Formula
Applied what is considered the optimal reinforcement learning training method
Distillation Technology
Distilled from the upcoming 400B Quasar 3.0 model

Model Capabilities

Text Generation
Complex Reasoning
Context Understanding

Use Cases

AI Research and Development
Model Architecture Research
Research on novel training methods and architecture design
Demonstrated the potential of the Quasar architecture
Business Applications
Intelligent Assistant
Building AI assistants with advanced reasoning capabilities
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