Quantization publisher

HeYujie

HeYujie publishes 10 quantizations across 1 models in our index, averaging 4.841 effective bits per weight. Their files differ in size from other publishers' builds of the same nominal quantization on 8 of the pairs we can compare — the same label does not mean the same file.

From the file· summed file bytes
Repositories
1
Quantizations
10
Models covered
1
Avg effective bpw
4.841
across their files

Same model, same quant label, different bytes

largest disagreements first
ModelQuantHeYujievsTheirsDifference
Huihui-Qwen3.5-35B-A3B-abliteratedQ2_K11.94 GiBmradermacher11.94 GiB-0.0%
Huihui-Qwen3.5-35B-A3B-abliteratedQ3_K_M15.61 GiBmradermacher15.61 GiB-0.0%
Huihui-Qwen3.5-35B-A3B-abliteratedQ3_K_S14.14 GiBmradermacher14.14 GiB-0.0%
Huihui-Qwen3.5-35B-A3B-abliteratedQ4_K_M19.72 GiBmradermacher19.72 GiB-0.0%
Huihui-Qwen3.5-35B-A3B-abliteratedQ4_K_S18.52 GiBmradermacher18.52 GiB-0.0%
Huihui-Qwen3.5-35B-A3B-abliteratedQ5_K_M23.06 GiBmradermacher23.06 GiB-0.0%
Huihui-Qwen3.5-35B-A3B-abliteratedQ6_K26.56 GiBmradermacher26.56 GiB-0.0%
Huihui-Qwen3.5-35B-A3B-abliteratedQ8_034.37 GiBmradermacher34.37 GiB-0.0%

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
Huihui-Qwen3.5-35B-A3B-abliterated1011.94 GiB