---
base_model: silx-ai/Quasar-3.7
datasets: eyad-silx/Qausar-3.7-coding
library_name: transformers
model_name: Quasar-3.7
tags:
- rl 
- silx
- trl
- sft
licence: license
---

# Quasar Series of Models

<p align="center">
  <img src="https://pbs.twimg.com/media/GlaGzuIWcAAI1JO?format=png&name=small" alt="Quasar Model Image" style="height: 350px;">
</p>

## Introducing Quasar-3.7 

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
- [Research Paper](https://arxiv.org/abs/2412.06822)
- [Website](https://sicopilot.cloud)

## Founders
- **Eyad Gomaa**
- **Gomaa Salah**