Unverified50% confidenceBenchmarkExact time
llama.cpp的K-quants系列采用超块分组量化策略，相比早期均匀量化在同等压缩率下可降低约20-30%的困惑度损失
1
Sources
50%
Confidence
Long-term
Relevance
7/11/2026
First Seen
Sources
Why Did Ollama Rise So Fast? Decoding the Success of a Local LLM Tool
redditr/ollama7/9/2026
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