Expired80% confidenceFactExact time
The Q5_K_M quantization scheme averages approximately 5.3 bits per weight, and a 32B parameter model requires approximately 20–24GB of storage space after quantization.
11
Sources
80%
Confidence
Medium-term (~90 days)
Relevance
7/2/2026
First Seen
Valid until: 9/30/2026(expired)
Sources
Llama.cpp Windows Local Deployment Guide: Run LLMs in Three Steps Without Compiling
bilibili乐优科技5/29/2026
Related Claims
VerifiedQ4_K_M uses mixed precision, storing some critical weights at 6-bit and the remainder at 4-bit, with an overall average of approximately 4.5-bit.84% similarUnverified一个32K上下文窗口在Q4量化模型上可能额外占用2-4GB内存81% similarUnverifiedA 300B INT4 quantized model requires approximately 150–180GB of storage space.79% similarVerified4-bit量化（如Q4_K_M）通常可将3B模型内存占用从约6GB压缩至约2GB，精度损失低于2-3%78% similarVerified4-bit量化使模型存储空间缩减为FP16的约1/477% similar
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