Aura-1-Thinking
This repository contains the cutting-edge Aura-1-Thinking reasoning model available as a standard base layer for native PyTorch environments.
This engine is tailor-made to deliver high-speed token streaming, running smoothly on accessible hardware layouts including standard cloud instances with 16GB RAM.
Performance Footprint
- Baseline Raw (FP16):
~8.5 GB - 10.0 GB| Standard CPU / Basic GPU Space
⚡ Model On GitHub
View The Project On GitHub By Visiting https://github.com/ArthWarrior3201/Aura-Models/tree/main/aura-1-thinking-weights