Quantization publisher

chiakelvin

chiakelvin publishes 3 quantizations across 1 models in our index, averaging 6.486 effective bits per weight. Their files differ in size from other publishers' builds of the same nominal quantization on 1 of the pairs we can compare — the same label does not mean the same file.

From the file· summed file bytes
Repositories
1
Quantizations
3
Models covered
1
Avg effective bpw
6.486
across their files

Same model, same quant label, different bytes

largest disagreements first
ModelQuantchiakelvinvsTheirsDifference
MiniCPM5-1B-Claude-Opus-Fable5-V2-ThinkingQ8_01.07 GiBGnLOLot1.07 GiB0.0%

A quantization label describes a target, not a recipe. Publishers make different choices about which tensors to keep at higher precision, and some apply an importance matrix while others don't — so two files both honestly labelled the same thing can differ measurably in size and in quality.

Models they publish

ModelQuantizationsSmallest
MiniCPM5-1B-Claude-Opus-Fable5-V2-Thinking30.64 GiB