Quantization publisher

peterjohannmedina

peterjohannmedina publishes 2 quantizations across 1 models in our index, averaging 6.500 effective bits per weight. Their files differ in size from other publishers' builds of the same nominal quantization on 2 of the pairs we can compare — the same label does not mean the same file.

From the file· summed file bytes
Repositories
1
Quantizations
2
Models covered
1
Avg effective bpw
6.500
across their files

Same model, same quant label, different bytes

largest disagreements first
ModelQuantpeterjohannmedinavsTheirsDifference
Qwen3.5-27B-Claude-4.6-Opus-Reasoning-DistilledQ4_K_M15.41 GiBmradermacher15.40 GiB0.0%
Qwen3.5-27B-Claude-4.6-Opus-Reasoning-DistilledQ8_026.63 GiBmradermacher26.63 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
Qwen3.5-27B-Claude-4.6-Opus-Reasoning-Distilled215.41 GiB