#Q4_k_m

Q4_K_M cuts model size 75% with minimal quality loss — but when should you use Q5, Q6, or Q8 instead? We benchmarked every quant level on real hardware and measured the actual accuracy tradeoffs.

From Dev.to - machinelearning: LLM Quantization Explained: What Q4, Q5, and Q8 Actually Mean for Your GPU

This article was originally published on Best GPU for LLM. The full version with interactive tools,...

Run DeepSeek R1 locally on RTX 4090 or M3 Max. Detailed benchmarks, quantization comparisons, token/s performance metrics, and setup guide for consumer GPUs.