Training-Free Mixed Precision Quantization with LLMs: A New Approach
Published:Dec 8, 2025 10:52
•1 min read
•ArXiv
Analysis
This research explores a novel method for mixed precision quantization, leveraging Large Language Models to automate proxy discovery, eliminating the need for training. The approach appears promising, potentially streamlining model optimization and resource utilization.
Key Takeaways
Reference
“The paper focuses on training-free automatic proxy discovery.”