A compressed alternative to standard matrix multiplication layers in neural networks. It utilizes ROBE-Z compression to reduce memory usage while maintaining linear-time computational efficiency.
Tech Stack
PythonAI, ML & Data
Why RzLinear?
• Significant memory reduction
• Linear-time performance
• State-of-the-art compression
Limitations
• Integration overhead
• Potential accuracy trade-off
• Specific to linear layers
8/22/2024
Last Update
2
Forks
2
Issues
MIT
License
Financial Leak Detected
Stop the "SaaS Tax"
Your team could be burning cash. Switching to RzLinear instantly boosts your runway.
