Snehal Raj
@snehalraj.bsky.social
PhD student at Sorbonne University
Assoc. Staff Scientist at QC Ware
www.snehalraj.com
Assoc. Staff Scientist at QC Ware
www.snehalraj.com
Our work, "Hyper Compressed Fine-Tuning of Large Foundation Models with Quantum Inspired Adapters" is now on arXiv! scirate.com/arxiv/2502.0... Our methods can compress large models by up to 44x with minimal performance loss.
Hyper Compressed Fine-Tuning of Large Foundation Models with Quantum Inspired Adapters
Fine-tuning pre-trained large foundation models for specific tasks has become increasingly challenging due to the computational and storage demands associated with full parameter updates. Parameter-Ef...
scirate.com
February 12, 2025 at 2:57 PM
Our work, "Hyper Compressed Fine-Tuning of Large Foundation Models with Quantum Inspired Adapters" is now on arXiv! scirate.com/arxiv/2502.0... Our methods can compress large models by up to 44x with minimal performance loss.