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https://github.com/vladmandic/automatic
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3022b1686d
Every dequant shape and block geometry comes from a real transformer config, one source of truth per model. - flux.1: attention linears 3072x3072, feed-forward 12288x3072, block at 3072 wide, 24 heads, 12288 ff, 4608 joint tokens - krea 2: standalone wq 6144x6144, swiglu gate 16384x6144, block at 6144 wide, 48 heads, 4608 joint tokens - the block section measures every geometry in block_geometries; buyback costs are judged at the block matching the reference shape, with the geometry named in the reason - te shape lookup keys on its label instead of a list index