Unverified50% confidenceFactExact time
Qwen 2.5 7B使用4组GQA配置，推理时KV Cache体积相比MHA减少约75%
1
Sources
50%
Confidence
Long-term
Relevance
7/14/2026
First Seen
Sources
本地7B量化模型信息抽取：难点分析与工程优化策略
Related Claims
UnverifiedQwen3.6 27B Q4 quantized version scored 650 points, ranking fourth.71% similarVerifiedQwen 2.5 is available in multiple parameter versions including 1.5B, 7B, and 72B.71% similarUnverifiedQwen3.5's parameter activation rate is 4.3%, while DeepSeek V3's 671B model has an activation rate of 5.5%.70% similarUnverifiedGGUF格式的Q4_K_M是最主流的平衡选择，困惑度损失通常低于1%；Q8_0几乎无精度损失但文件体积是Q4的两倍70% similarUnverifiedQwen 3.6 35B A3B has a clear advantage over Gemma 4 and Qwen 3.5 in long-context memory benchmarks.68% similar
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