Unverified50% confidenceFactExact time
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
1
Sources
50%
Confidence
Long-term
Relevance
7/12/2026
First Seen
Sources
Building a Local AI Coding Agent on Mac: A Complete Guide with Ollama, OpenCode, and MCP
redditr/ollama7/11/2026
Related Claims
VerifiedThe 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.81% 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%80% similarVerifiedQLoRA quantizes the base model weights in 4-bit NF4 format, making it possible to fine-tune a 13-billion-parameter model on a single GPU.78% similarVerifiedQ4_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.77% similarUnverified一张1024×1024的未压缩RGBA纹理占据4MB存储空间75% similar
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