Quantization publisher

thelamapi

thelamapi publishes 12 quantizations across 1 models in our index, averaging 5.583 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
12
Models covered
1
Avg effective bpw
5.583
across their files

Same model, same quant label, different bytes

largest disagreements first
ModelQuantthelamapivsTheirsDifference
next-ocrQ4_K_M4.68 GiBLamapi4.68 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
next-ocr123.06 GiB