The Best Quantization Methods to Run Llama 3.1 on Your GPU
Benchmarking inference throughput, accuracy, and memory consumption of AQLM, bitsandbytes, AWQ, GPTQ, and AutoRound
We have numerous options to compress large language models (LLMs). 4-bit quantization is one of the most popular as it can significantly reduce the size of LLMs while preserving most of their accuracy.
4-bit quantization can be achieved through various methods. In the Kaitchup, I reviewed the most used and best-performing methods to …