Quasar Series of Models

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Introducing Quasar-3.3-Max

This model is provided by SILX INC. It has been supervised fine-tuned using the open-r1 repository. The training data includes sequences of varying lengths (32k, 16k, and 8k) to enhance the model's knowledge and adaptability.

Quasar-3.3-Max represents the first step in the Quasar project before Reinforcement Learning (RL). At this stage, the model's reasoning steps are capped at a maximum length of 8129 tokens to optimize processing efficiency and contextual understanding.

Stay tuned for further updates as we advance the Quasar project with RL enhancements!

Resources

Founders

  • Eyad Gomaa
  • Gomaa Salah
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Dataset used to train silx-ai/Quasar-3.3-Max