Hands-On Int4 Quantization Portfolio: Build a GPTQ/AWQ-Powered LLM CV Project
Learn how to quantize a language model to int4, integrate GPTQ and AWQ, and ship a runnable CV project that impresses hiring managers.
Learn how to quantize a language model to int4, integrate GPTQ and AWQ, and ship a runnable CV project that impresses hiring managers.
Learn to build a functional GPTQ quantization engine from scratch, complete with Fisher information scoring and mixed-precision calibration, and how to signal systems-level engineering skill to hiring managers.
Learn how to build a GPTQ INT4 quantizer from scratch in pure Python, demonstrating deep systems and ML engineering skills that stand out to hiring managers.
Build a real int4 quantization engine from scratch: grouped scales, zero points, and a fast dequant matmul kernel that runs without CUDA. A substantive portfolio project that signals real systems skill.
Ship a runnable int4 weight-only quantization engine from scratch: GPTQ-style calibration, group-wise affine scales, and a fused dequantize-matmul kernel. Built to demonstrate real ML systems skill on a portfolio.