quantization-evaluation-pipeline

What problem does it solve?

GGUF quantization often degrades model performance; this skill provides an automated, end-to-end evaluation workflow that preserves critical parameters using imatrix-based protection and presents statistical benchmarks.

Core Features & Use Cases

• imatrix-based protection during GGUF quantization to minimize degradation on important weights
• multi-benchmark evaluation (GSM8K, MATH, ARC-Challenge, ELYZA Tasks 100) with multiple runs for statistical reliability
• generation of publication-ready methodology documentation, scorecards, and visualizations to support research and deployment decisions
• subagent orchestration and PowerShell progress visualization for transparent, reproducible pipelines

Quick Start

Run the end-to-end quantization evaluation workflow on your base model using the default benchmark suite to compare BF16, Q8_0, and Q4_K_M formats.