PrismML-Eng / Bonsai-demo

TL;DR

PrismML-Eng introduces Bonsai, a machine learning framework designed for efficient model training and deployment. It leverages advanced techniques like 1-bit and ternary quantization to optimize performance.

✦ Why It Matters

Engineers can implement Bonsai to reduce model size and improve inference speed in their AI applications today.

Key Takeaways

Clone the Bonsai-demo repository to get started.
Use the setup script to install dependencies and download models.
Experiment with different model sizes for optimal performance.
Leverage the chat interface for interactive AI applications.

How It Works

The Bonsai-demo utilizes advanced quantization techniques, allowing models to run efficiently on consumer hardware. The Ternary-Bonsai models are designed to balance quality and performance, packing weights into smaller sizes while maintaining high accuracy.

Users can select model sizes and families through environment variables, enabling flexibility based on their hardware capabilities.

PrismML-Eng / Bonsai-demo

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