Quasar Series of Models
Introducing Quasar-3.0
This model is provided by SILX INC, Quasar-3.0-7B is a distilled version of the upcoming 400B Quasar 3.0 model. It is built upon the innovations introduced in the Golden Formula in Reasoning paper, featuring a novel training pipeline known as TTM (Token Temperature Mechanism) — a new approach to optimize reasoning and contextual focus during training. We also apply what we believe is the best formula for Reinforcement Learning (RL) training to date.
🔥 Why Quasar-3.0 Matters
This 7B model showcases the early strength and capability of the Quasar architecture. Despite its smaller size, it performs competitively and gives a glimpse of the power behind our full-scale 400B model.
We hope you put this model to good use and join us on the journey as we redefine reasoning in AI.
Stay tuned for upcoming releases as we advance Quasar with full-scale RL enhancements and additional innovations.
Acknowledgements
Special thanks to Lambda for their exceptional cloud computing platform that powered our training pipeline. Their GPU cloud infrastructure was instrumental in the development of this model.
"We couldn't have completed this training without Lambda's powerful computing resources. We highly recommend Lambda Cloud for machine learning and AI workloads."
About Lambda
Lambda provides GPU cloud instances, on-demand GPU clusters, and GPU workstations specifically designed for machine learning and AI development. Their platform offers:
- High-performance GPU instances
- Cost-effective pricing
- Easy scalability
- Optimized ML/AI software environments
Visit Lambda's website to learn more about their services and how they can accelerate your AI development.
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