Hi everyone,
In this article, I explore how to improve the accuracy of a quantized LLM using EoRA, a simple yet effective method proposed by NVIDIA. EoRA works by calibrating a lightweight adapter on top of a quantized LLM.
With an EoRA adapter, even 2-bit models can perform remarkably close to their original full-precision counterparts. I ran experiments on Qwen3 and Qwen2.5, and the results were impressive.
This time, I’ve published the article on Towards Data Science, you can read it here:
Boost 2-Bit LLM Accuracy with EoRA (on TDS)
This article is free.
I’ve also made a notebook that you can find here: