CoderBak/editlens_roberta_modelkit
0267
1{2 "upstream": "pangram/editlens_roberta-large",3 "revision": "f93e1ace74528cfb48f337ab2fe946fb71a728cb",4 "precision": "float32",5 "attention_implementation": "eager",6 "provider": "PyTorch CPU",7 "cases": [8 {9 "id": "empty",10 "shape": [11 1,12 213 ]14 },15 {16 "id": "minimal",17 "shape": [18 1,19 420 ]21 },22 {23 "id": "short",24 "shape": [25 1,26 3327 ]28 },29 {30 "id": "mixed_padding",31 "shape": [32 4,33 4234 ]35 },36 {37 "id": "technical",38 "shape": [39 4,40 7541 ]42 },43 {44 "id": "formatting",45 "shape": [46 4,47 9348 ]49 },50 {51 "id": "repetition",52 "shape": [53 2,54 51255 ]56 },57 {58 "id": "long_512",59 "shape": [60 1,61 51262 ]63 },64 {65 "id": "long_mixed_batch",66 "shape": [67 2,68 51269 ]70 },71 {72 "id": "whitespace",73 "shape": [74 2,75 1776 ]77 },78 {79 "id": "sequence_128",80 "shape": [81 1,82 12983 ]84 },85 {86 "id": "sequence_256",87 "shape": [88 1,89 25790 ]91 }92 ],93 "purpose": "Numerical conversion checks; not a labeled accuracy benchmark.",94 "source_weights_sha256": "869f33df7928c447bbd150d3b5192b4ea90b1cbd2ee4aad97f5d51d59dfc8cfb",95 "fixtures_sha256": "b4cfec82a9c2839e3231a51a4fe991c5ce83ae516aa61e8fe5f93c235953651b",96 "reference_npz_sha256": "401ca4e9bf9b65c3f91552b277f254254fa1469cf870ac81424985df3d92286c"97}98 