Breeze-TTS-2-comfyui / quantization_report_int8_text_encoder.json
drbaph's picture
Upload quantization_report_int8_text_encoder.json with huggingface_hub
916c053 verified
Raw
History Blame Contribute Delete
60.7 kB
{
"original_model_path": "C:\\Users\\drbaph\\Documents\\ComfyUI\\models\\breezetts2\\drbaph_Breeze-TTS-2-comfyui\\model.safetensors",
"quantized_model_path": "C:\\Users\\drbaph\\Documents\\ComfyUI\\models\\breezetts2\\drbaph_Breeze-TTS-2-comfyui\\model-int8-text-encoder.safetensors",
"comfy_kitchen_version": "0.2.31",
"pytorch_version": "2.10.0+cu130",
"cuda_version": "13.0",
"method": "comfy_kitchen TensorWiseINT8Layout.quantize(is_weight=True, per_channel=True, convrot=True)",
"quantized_tensors": 182,
"quantized_params": 697761792,
"unquantized": "backbone_model.layers.*, depth_decoder.model.layers.* (all decode-time linears stay bf16)",
"original_size_bytes": 6966557274,
"output_size_bytes": 6270699712,
"elapsed_seconds": 6.4934158000396565,
"worst_rel_l2": 0.009073183871805668,
"median_rel_l2": 0.007955125533044338,
"worst_cosine": 0.999958872795105,
"per_tensor": [
{
"tensor": "text_encoder.layers.0.mlp.down_proj.weight",
"shape": [
1152,
6912
],
"group_size": 256,
"max_abs_err": 0.00020656641572713852,
"mean_abs_err": 2.797946217469871e-05,
"rel_l2": 0.008970697410404682,
"cosine": 0.9999597668647766
},
{
"tensor": "text_encoder.layers.0.mlp.gate_proj.weight",
"shape": [
6912,
1152
],
"group_size": 64,
"max_abs_err": 0.00023933500051498413,
"mean_abs_err": 2.4346587451873347e-05,
"rel_l2": 0.007968038320541382,
"cosine": 0.9999681711196899
},
{
"tensor": "text_encoder.layers.0.mlp.up_proj.weight",
"shape": [
6912,
1152
],
"group_size": 64,
"max_abs_err": 0.00019369833171367645,
"mean_abs_err": 2.592776218079962e-05,
"rel_l2": 0.007964438758790493,
"cosine": 0.9999682903289795
},
{
"tensor": "text_encoder.layers.0.self_attn.k_proj.weight",
"shape": [
256,
1152
],
"group_size": 64,
"max_abs_err": 0.00026987865567207336,
"mean_abs_err": 3.885104524670169e-05,
"rel_l2": 0.007972605526447296,
"cosine": 0.9999682307243347
},
{
"tensor": "text_encoder.layers.0.self_attn.o_proj.weight",
"shape": [
1152,
1024
],
"group_size": 256,
"max_abs_err": 0.000321744941174984,
"mean_abs_err": 4.160729076829739e-05,
"rel_l2": 0.008121548220515251,
"cosine": 0.9999669790267944
},
{
"tensor": "text_encoder.layers.0.self_attn.q_proj.weight",
"shape": [
1024,
1152
],
"group_size": 64,
"max_abs_err": 0.00032746046781539917,
"mean_abs_err": 3.8418460462708026e-05,
"rel_l2": 0.007994755171239376,
"cosine": 0.9999680519104004
},
{
"tensor": "text_encoder.layers.0.self_attn.v_proj.weight",
"shape": [
256,
1152
],
"group_size": 64,
"max_abs_err": 0.00027776695787906647,
"mean_abs_err": 4.1382445488125086e-05,
"rel_l2": 0.008023402653634548,
"cosine": 0.9999678134918213
},
{
"tensor": "text_encoder.layers.1.mlp.down_proj.weight",
"shape": [
1152,
6912
],
"group_size": 256,
"max_abs_err": 0.0002707187086343765,
"mean_abs_err": 2.859158303181175e-05,
"rel_l2": 0.008981716819107533,
"cosine": 0.9999595880508423
},
{
"tensor": "text_encoder.layers.1.mlp.gate_proj.weight",
"shape": [
6912,
1152
],
"group_size": 64,
"max_abs_err": 0.00020155683159828186,
"mean_abs_err": 2.3744967620586976e-05,
"rel_l2": 0.007947574369609356,
"cosine": 0.999968409538269
},
{
"tensor": "text_encoder.layers.1.mlp.up_proj.weight",
"shape": [
6912,
1152
],
"group_size": 64,
"max_abs_err": 0.0002052774652838707,
"mean_abs_err": 2.4912131266319193e-05,
"rel_l2": 0.007934706285595894,
"cosine": 0.9999685287475586
},
{
"tensor": "text_encoder.layers.1.self_attn.k_proj.weight",
"shape": [
256,
1152
],
"group_size": 64,
"max_abs_err": 0.00022666295990347862,
"mean_abs_err": 3.6654055293183774e-05,
"rel_l2": 0.00790654867887497,
"cosine": 0.9999688267707825
},
{
"tensor": "text_encoder.layers.1.self_attn.o_proj.weight",
"shape": [
1152,
1024
],
"group_size": 256,
"max_abs_err": 0.00041987933218479156,
"mean_abs_err": 4.223711584927514e-05,
"rel_l2": 0.008434656076133251,
"cosine": 0.9999644756317139
},
{
"tensor": "text_encoder.layers.1.self_attn.q_proj.weight",
"shape": [
1024,
1152
],
"group_size": 64,
"max_abs_err": 0.0004361348692327738,
"mean_abs_err": 3.88821390515659e-05,
"rel_l2": 0.007985027506947517,
"cosine": 0.9999681711196899
},
{
"tensor": "text_encoder.layers.1.self_attn.v_proj.weight",
"shape": [
256,
1152
],
"group_size": 64,
"max_abs_err": 0.00024056341499090195,
"mean_abs_err": 3.949280653614551e-05,
"rel_l2": 0.00797144416719675,
"cosine": 0.9999682307243347
},
{
"tensor": "text_encoder.layers.10.mlp.down_proj.weight",
"shape": [
1152,
6912
],
"group_size": 256,
"max_abs_err": 0.0004994622431695461,
"mean_abs_err": 2.8997241315664724e-05,
"rel_l2": 0.008962404914200306,
"cosine": 0.9999599456787109
},
{
"tensor": "text_encoder.layers.10.mlp.gate_proj.weight",
"shape": [
6912,
1152
],
"group_size": 64,
"max_abs_err": 0.00022587087005376816,
"mean_abs_err": 2.7649817639030516e-05,
"rel_l2": 0.007903611287474632,
"cosine": 0.9999687671661377
},
{
"tensor": "text_encoder.layers.10.mlp.up_proj.weight",
"shape": [
6912,
1152
],
"group_size": 64,
"max_abs_err": 0.00024119787849485874,
"mean_abs_err": 2.419894553895574e-05,
"rel_l2": 0.007940232753753662,
"cosine": 0.9999685287475586
},
{
"tensor": "text_encoder.layers.10.self_attn.k_proj.weight",
"shape": [
256,
1152
],
"group_size": 64,
"max_abs_err": 0.00032904092222452164,
"mean_abs_err": 3.916457717423327e-05,
"rel_l2": 0.00793897733092308,
"cosine": 0.999968409538269
},
{
"tensor": "text_encoder.layers.10.self_attn.o_proj.weight",
"shape": [
1152,
1024
],
"group_size": 256,
"max_abs_err": 0.0005854489281773567,
"mean_abs_err": 4.4737575080944225e-05,
"rel_l2": 0.008155359886586666,
"cosine": 0.9999668002128601
},
{
"tensor": "text_encoder.layers.10.self_attn.q_proj.weight",
"shape": [
1024,
1152
],
"group_size": 64,
"max_abs_err": 0.000441916286945343,
"mean_abs_err": 4.080178041476756e-05,
"rel_l2": 0.00792653113603592,
"cosine": 0.999968409538269
},
{
"tensor": "text_encoder.layers.10.self_attn.v_proj.weight",
"shape": [
256,
1152
],
"group_size": 64,
"max_abs_err": 0.0002703205682337284,
"mean_abs_err": 4.131305468035862e-05,
"rel_l2": 0.007881417870521545,
"cosine": 0.9999690055847168
},
{
"tensor": "text_encoder.layers.11.mlp.down_proj.weight",
"shape": [
1152,
6912
],
"group_size": 256,
"max_abs_err": 0.0005869949236512184,
"mean_abs_err": 3.110179750365205e-05,
"rel_l2": 0.00893147848546505,
"cosine": 0.99996018409729
},
{
"tensor": "text_encoder.layers.11.mlp.gate_proj.weight",
"shape": [
6912,
1152
],
"group_size": 64,
"max_abs_err": 0.000225776806473732,
"mean_abs_err": 2.7423178835306317e-05,
"rel_l2": 0.007921411655843258,
"cosine": 0.9999686479568481
},
{
"tensor": "text_encoder.layers.11.mlp.up_proj.weight",
"shape": [
6912,
1152
],
"group_size": 64,
"max_abs_err": 0.00024015316739678383,
"mean_abs_err": 2.6978041205438785e-05,
"rel_l2": 0.007935961708426476,
"cosine": 0.9999685287475586
},
{
"tensor": "text_encoder.layers.11.self_attn.k_proj.weight",
"shape": [
256,
1152
],
"group_size": 64,
"max_abs_err": 0.00040703057311475277,
"mean_abs_err": 3.809263216680847e-05,
"rel_l2": 0.008052492514252663,
"cosine": 0.9999675750732422
},
{
"tensor": "text_encoder.layers.11.self_attn.o_proj.weight",
"shape": [
1152,
1024
],
"group_size": 256,
"max_abs_err": 0.0007184594869613647,
"mean_abs_err": 4.587099829223007e-05,
"rel_l2": 0.008229357190430164,
"cosine": 0.9999661445617676
},
{
"tensor": "text_encoder.layers.11.self_attn.q_proj.weight",
"shape": [
1024,
1152
],
"group_size": 64,
"max_abs_err": 0.00045102741569280624,
"mean_abs_err": 4.250429992680438e-05,
"rel_l2": 0.00794568657875061,
"cosine": 0.999968409538269
},
{
"tensor": "text_encoder.layers.11.self_attn.v_proj.weight",
"shape": [
256,
1152
],
"group_size": 64,
"max_abs_err": 0.00026520818937569857,
"mean_abs_err": 4.3999643821734935e-05,
"rel_l2": 0.007959697395563126,
"cosine": 0.9999683499336243
},
{
"tensor": "text_encoder.layers.12.mlp.down_proj.weight",
"shape": [
1152,
6912
],
"group_size": 256,
"max_abs_err": 0.0007534623146057129,
"mean_abs_err": 2.9220409487606958e-05,
"rel_l2": 0.009023528546094894,
"cosine": 0.9999592900276184
},
{
"tensor": "text_encoder.layers.12.mlp.gate_proj.weight",
"shape": [
6912,
1152
],
"group_size": 64,
"max_abs_err": 0.00024057773407548666,
"mean_abs_err": 2.772843618004117e-05,
"rel_l2": 0.007928523235023022,
"cosine": 0.9999685883522034
},
{
"tensor": "text_encoder.layers.12.mlp.up_proj.weight",
"shape": [
6912,
1152
],
"group_size": 64,
"max_abs_err": 0.00021462119184434414,
"mean_abs_err": 2.567176125012338e-05,
"rel_l2": 0.007913559675216675,
"cosine": 0.9999687075614929
},
{
"tensor": "text_encoder.layers.12.self_attn.k_proj.weight",
"shape": [
256,
1152
],
"group_size": 64,
"max_abs_err": 0.0003492487594485283,
"mean_abs_err": 3.951948383473791e-05,
"rel_l2": 0.00808818731456995,
"cosine": 0.9999673366546631
},
{
"tensor": "text_encoder.layers.12.self_attn.o_proj.weight",
"shape": [
1152,
1024
],
"group_size": 256,
"max_abs_err": 0.0004827156662940979,
"mean_abs_err": 4.38933348050341e-05,
"rel_l2": 0.008042722940444946,
"cosine": 0.9999676942825317
},
{
"tensor": "text_encoder.layers.12.self_attn.q_proj.weight",
"shape": [
1024,
1152
],
"group_size": 64,
"max_abs_err": 0.00035160500556230545,
"mean_abs_err": 4.113037357456051e-05,
"rel_l2": 0.007980970665812492,
"cosine": 0.9999681711196899
},
{
"tensor": "text_encoder.layers.12.self_attn.v_proj.weight",
"shape": [
256,
1152
],
"group_size": 64,
"max_abs_err": 0.0002672271803021431,
"mean_abs_err": 4.229570913594216e-05,
"rel_l2": 0.007950587198138237,
"cosine": 0.999968409538269
},
{
"tensor": "text_encoder.layers.13.mlp.down_proj.weight",
"shape": [
1152,
6912
],
"group_size": 256,
"max_abs_err": 0.00034677982330322266,
"mean_abs_err": 2.9670321964658797e-05,
"rel_l2": 0.008940483443439007,
"cosine": 0.9999600052833557
},
{
"tensor": "text_encoder.layers.13.mlp.gate_proj.weight",
"shape": [
6912,
1152
],
"group_size": 64,
"max_abs_err": 0.00023941253311932087,
"mean_abs_err": 2.6375944798928685e-05,
"rel_l2": 0.007955878973007202,
"cosine": 0.9999682903289795
},
{
"tensor": "text_encoder.layers.13.mlp.up_proj.weight",
"shape": [
6912,
1152
],
"group_size": 64,
"max_abs_err": 0.00020468980073928833,
"mean_abs_err": 2.5755580281838775e-05,
"rel_l2": 0.007935441099107265,
"cosine": 0.9999685287475586
},
{
"tensor": "text_encoder.layers.13.self_attn.k_proj.weight",
"shape": [
256,
1152
],
"group_size": 64,
"max_abs_err": 0.000318639911711216,
"mean_abs_err": 4.031285425298847e-05,
"rel_l2": 0.007978199981153011,
"cosine": 0.9999681711196899
},
{
"tensor": "text_encoder.layers.13.self_attn.o_proj.weight",
"shape": [
1152,
1024
],
"group_size": 256,
"max_abs_err": 0.0005072522908449173,
"mean_abs_err": 4.5973491069162264e-05,
"rel_l2": 0.008308728225529194,
"cosine": 0.999965488910675
},
{
"tensor": "text_encoder.layers.13.self_attn.q_proj.weight",
"shape": [
1024,
1152
],
"group_size": 64,
"max_abs_err": 0.0004725456237792969,
"mean_abs_err": 4.243482180754654e-05,
"rel_l2": 0.00795433297753334,
"cosine": 0.9999682903289795
},
{
"tensor": "text_encoder.layers.13.self_attn.v_proj.weight",
"shape": [
256,
1152
],
"group_size": 64,
"max_abs_err": 0.00029289652593433857,
"mean_abs_err": 4.36946538684424e-05,
"rel_l2": 0.007921375334262848,
"cosine": 0.9999687075614929
},
{
"tensor": "text_encoder.layers.14.mlp.down_proj.weight",
"shape": [
1152,
6912
],
"group_size": 256,
"max_abs_err": 0.0006862860172986984,
"mean_abs_err": 3.043674041691702e-05,
"rel_l2": 0.008945777080953121,
"cosine": 0.9999599456787109
},
{
"tensor": "text_encoder.layers.14.mlp.gate_proj.weight",
"shape": [
6912,
1152
],
"group_size": 64,
"max_abs_err": 0.0002442979603074491,
"mean_abs_err": 2.7715392207028344e-05,
"rel_l2": 0.007929785177111626,
"cosine": 0.9999685287475586
},
{
"tensor": "text_encoder.layers.14.mlp.up_proj.weight",
"shape": [
6912,
1152
],
"group_size": 64,
"max_abs_err": 0.00020622694864869118,
"mean_abs_err": 2.670797402970493e-05,
"rel_l2": 0.007926554419100285,
"cosine": 0.9999686479568481
},
{
"tensor": "text_encoder.layers.14.self_attn.k_proj.weight",
"shape": [
256,
1152
],
"group_size": 64,
"max_abs_err": 0.000349557027220726,
"mean_abs_err": 4.0669183363206685e-05,
"rel_l2": 0.007911005057394505,
"cosine": 0.9999686479568481
},
{
"tensor": "text_encoder.layers.14.self_attn.o_proj.weight",
"shape": [
1152,
1024
],
"group_size": 256,
"max_abs_err": 0.0006493804976344109,
"mean_abs_err": 4.713579619419761e-05,
"rel_l2": 0.008153656497597694,
"cosine": 0.9999667406082153
},
{
"tensor": "text_encoder.layers.14.self_attn.q_proj.weight",
"shape": [
1024,
1152
],
"group_size": 64,
"max_abs_err": 0.0004902724176645279,
"mean_abs_err": 4.406982407090254e-05,
"rel_l2": 0.007987537421286106,
"cosine": 0.9999681115150452
},
{
"tensor": "text_encoder.layers.14.self_attn.v_proj.weight",
"shape": [
256,
1152
],
"group_size": 64,
"max_abs_err": 0.0002967715263366699,
"mean_abs_err": 4.568686199490912e-05,
"rel_l2": 0.007957719266414642,
"cosine": 0.9999683499336243
},
{
"tensor": "text_encoder.layers.15.mlp.down_proj.weight",
"shape": [
1152,
6912
],
"group_size": 256,
"max_abs_err": 0.0005684010684490204,
"mean_abs_err": 3.092829865636304e-05,
"rel_l2": 0.008936441503465176,
"cosine": 0.9999601244926453
},
{
"tensor": "text_encoder.layers.15.mlp.gate_proj.weight",
"shape": [
6912,
1152
],
"group_size": 64,
"max_abs_err": 0.0002698830794543028,
"mean_abs_err": 2.9062468456686474e-05,
"rel_l2": 0.007948662154376507,
"cosine": 0.999968409538269
},
{
"tensor": "text_encoder.layers.15.mlp.up_proj.weight",
"shape": [
6912,
1152
],
"group_size": 64,
"max_abs_err": 0.0002498086541891098,
"mean_abs_err": 2.774826680251863e-05,
"rel_l2": 0.007927238009870052,
"cosine": 0.9999686479568481
},
{
"tensor": "text_encoder.layers.15.self_attn.k_proj.weight",
"shape": [
256,
1152
],
"group_size": 64,
"max_abs_err": 0.00027378741651773453,
"mean_abs_err": 4.029141928185709e-05,
"rel_l2": 0.007906126789748669,
"cosine": 0.9999687671661377
},
{
"tensor": "text_encoder.layers.15.self_attn.o_proj.weight",
"shape": [
1152,
1024
],
"group_size": 256,
"max_abs_err": 0.00045468308962881565,
"mean_abs_err": 4.5985823817318305e-05,
"rel_l2": 0.008228728547692299,
"cosine": 0.9999662637710571
},
{
"tensor": "text_encoder.layers.15.self_attn.q_proj.weight",
"shape": [
1024,
1152
],
"group_size": 64,
"max_abs_err": 0.0005461055552586913,
"mean_abs_err": 4.145556886214763e-05,
"rel_l2": 0.007897666655480862,
"cosine": 0.9999688863754272
},
{
"tensor": "text_encoder.layers.15.self_attn.v_proj.weight",
"shape": [
256,
1152
],
"group_size": 64,
"max_abs_err": 0.0002879721578210592,
"mean_abs_err": 4.496155816013925e-05,
"rel_l2": 0.007910206913948059,
"cosine": 0.9999686479568481
},
{
"tensor": "text_encoder.layers.16.mlp.down_proj.weight",
"shape": [
1152,
6912
],
"group_size": 256,
"max_abs_err": 0.0006656097248196602,
"mean_abs_err": 3.11288058583159e-05,
"rel_l2": 0.008936969563364983,
"cosine": 0.9999601244926453
},
{
"tensor": "text_encoder.layers.16.mlp.gate_proj.weight",
"shape": [
6912,
1152
],
"group_size": 64,
"max_abs_err": 0.0002878764644265175,
"mean_abs_err": 2.9656692277058028e-05,
"rel_l2": 0.007939698174595833,
"cosine": 0.9999685287475586
},
{
"tensor": "text_encoder.layers.16.mlp.up_proj.weight",
"shape": [
6912,
1152
],
"group_size": 64,
"max_abs_err": 0.00024717487394809723,
"mean_abs_err": 2.8428970836102962e-05,
"rel_l2": 0.007927916944026947,
"cosine": 0.9999685287475586
},
{
"tensor": "text_encoder.layers.16.self_attn.k_proj.weight",
"shape": [
256,
1152
],
"group_size": 64,
"max_abs_err": 0.0003598378971219063,
"mean_abs_err": 4.066798646817915e-05,
"rel_l2": 0.007962486706674099,
"cosine": 0.9999683499336243
},
{
"tensor": "text_encoder.layers.16.self_attn.o_proj.weight",
"shape": [
1152,
1024
],
"group_size": 256,
"max_abs_err": 0.0005106199532747269,
"mean_abs_err": 4.5656950533157215e-05,
"rel_l2": 0.008158673532307148,
"cosine": 0.9999667406082153
},
{
"tensor": "text_encoder.layers.16.self_attn.q_proj.weight",
"shape": [
1024,
1152
],
"group_size": 64,
"max_abs_err": 0.00045864470303058624,
"mean_abs_err": 4.319646177464165e-05,
"rel_l2": 0.007907072082161903,
"cosine": 0.9999687671661377
},
{
"tensor": "text_encoder.layers.16.self_attn.v_proj.weight",
"shape": [
256,
1152
],
"group_size": 64,
"max_abs_err": 0.00027803145349025726,
"mean_abs_err": 4.6640219807159156e-05,
"rel_l2": 0.007905792444944382,
"cosine": 0.9999687075614929
},
{
"tensor": "text_encoder.layers.17.mlp.down_proj.weight",
"shape": [
1152,
6912
],
"group_size": 256,
"max_abs_err": 0.0006273156031966209,
"mean_abs_err": 3.232168819522485e-05,
"rel_l2": 0.008961471728980541,
"cosine": 0.9999598860740662
},
{
"tensor": "text_encoder.layers.17.mlp.gate_proj.weight",
"shape": [
6912,
1152
],
"group_size": 64,
"max_abs_err": 0.00026919133961200714,
"mean_abs_err": 3.183860098943114e-05,
"rel_l2": 0.00795331597328186,
"cosine": 0.999968409538269
},
{
"tensor": "text_encoder.layers.17.mlp.up_proj.weight",
"shape": [
6912,
1152
],
"group_size": 64,
"max_abs_err": 0.0002784421667456627,
"mean_abs_err": 2.979859164042864e-05,
"rel_l2": 0.007923610508441925,
"cosine": 0.9999685287475586
},
{
"tensor": "text_encoder.layers.17.self_attn.k_proj.weight",
"shape": [
256,
1152
],
"group_size": 64,
"max_abs_err": 0.000310712493956089,
"mean_abs_err": 4.081440420122817e-05,
"rel_l2": 0.007954413071274757,
"cosine": 0.9999682903289795
},
{
"tensor": "text_encoder.layers.17.self_attn.o_proj.weight",
"shape": [
1152,
1024
],
"group_size": 256,
"max_abs_err": 0.0006721913814544678,
"mean_abs_err": 4.759236253448762e-05,
"rel_l2": 0.00829317793250084,
"cosine": 0.9999656677246094
},
{
"tensor": "text_encoder.layers.17.self_attn.q_proj.weight",
"shape": [
1024,
1152
],
"group_size": 64,
"max_abs_err": 0.0005942909047007561,
"mean_abs_err": 4.918796548736282e-05,
"rel_l2": 0.007860478013753891,
"cosine": 0.9999690651893616
},
{
"tensor": "text_encoder.layers.17.self_attn.v_proj.weight",
"shape": [
256,
1152
],
"group_size": 64,
"max_abs_err": 0.00033246632665395737,
"mean_abs_err": 5.000580131309107e-05,
"rel_l2": 0.007866171188652515,
"cosine": 0.9999691247940063
},
{
"tensor": "text_encoder.layers.18.mlp.down_proj.weight",
"shape": [
1152,
6912
],
"group_size": 256,
"max_abs_err": 0.0005804561078548431,
"mean_abs_err": 3.215258402633481e-05,
"rel_l2": 0.00896071083843708,
"cosine": 0.9999598860740662
},
{
"tensor": "text_encoder.layers.18.mlp.gate_proj.weight",
"shape": [
6912,
1152
],
"group_size": 64,
"max_abs_err": 0.0002619265578687191,
"mean_abs_err": 3.0102950404398143e-05,
"rel_l2": 0.007947666570544243,
"cosine": 0.999968409538269
},
{
"tensor": "text_encoder.layers.18.mlp.up_proj.weight",
"shape": [
6912,
1152
],
"group_size": 64,
"max_abs_err": 0.00022509577684104443,
"mean_abs_err": 2.8918775569763966e-05,
"rel_l2": 0.007940365001559258,
"cosine": 0.9999684691429138
},
{
"tensor": "text_encoder.layers.18.self_attn.k_proj.weight",
"shape": [
256,
1152
],
"group_size": 64,
"max_abs_err": 0.000308517599478364,
"mean_abs_err": 4.346207424532622e-05,
"rel_l2": 0.008007669821381569,
"cosine": 0.9999679327011108
},
{
"tensor": "text_encoder.layers.18.self_attn.o_proj.weight",
"shape": [
1152,
1024
],
"group_size": 256,
"max_abs_err": 0.0009103007614612579,
"mean_abs_err": 4.8640500608598813e-05,
"rel_l2": 0.008433609269559383,
"cosine": 0.9999645352363586
},
{
"tensor": "text_encoder.layers.18.self_attn.q_proj.weight",
"shape": [
1024,
1152
],
"group_size": 64,
"max_abs_err": 0.0006566569209098816,
"mean_abs_err": 4.761685340781696e-05,
"rel_l2": 0.007961737923324108,
"cosine": 0.9999681711196899
},
{
"tensor": "text_encoder.layers.18.self_attn.v_proj.weight",
"shape": [
256,
1152
],
"group_size": 64,
"max_abs_err": 0.0003177933394908905,
"mean_abs_err": 4.904352317680605e-05,
"rel_l2": 0.007937918417155743,
"cosine": 0.9999684691429138
},
{
"tensor": "text_encoder.layers.19.mlp.down_proj.weight",
"shape": [
1152,
6912
],
"group_size": 256,
"max_abs_err": 0.0006463476456701756,
"mean_abs_err": 3.214738535461947e-05,
"rel_l2": 0.008960945531725883,
"cosine": 0.9999598264694214
},
{
"tensor": "text_encoder.layers.19.mlp.gate_proj.weight",
"shape": [
6912,
1152
],
"group_size": 64,
"max_abs_err": 0.00024938315618783236,
"mean_abs_err": 3.0850747862132266e-05,
"rel_l2": 0.00792153924703598,
"cosine": 0.9999686479568481
},
{
"tensor": "text_encoder.layers.19.mlp.up_proj.weight",
"shape": [
6912,
1152
],
"group_size": 64,
"max_abs_err": 0.0002099168486893177,
"mean_abs_err": 2.8655553251155652e-05,
"rel_l2": 0.007940316572785378,
"cosine": 0.999968409538269
},
{
"tensor": "text_encoder.layers.19.self_attn.k_proj.weight",
"shape": [
256,
1152
],
"group_size": 64,
"max_abs_err": 0.0003219459322281182,
"mean_abs_err": 4.42723321611993e-05,
"rel_l2": 0.007933183573186398,
"cosine": 0.9999685883522034
},
{
"tensor": "text_encoder.layers.19.self_attn.o_proj.weight",
"shape": [
1152,
1024
],
"group_size": 256,
"max_abs_err": 0.0008521135896444321,
"mean_abs_err": 4.736207483801991e-05,
"rel_l2": 0.009073183871805668,
"cosine": 0.999958872795105
},
{
"tensor": "text_encoder.layers.19.self_attn.q_proj.weight",
"shape": [
1024,
1152
],
"group_size": 64,
"max_abs_err": 0.0005671344697475433,
"mean_abs_err": 5.0584625569172204e-05,
"rel_l2": 0.007917975075542927,
"cosine": 0.9999686479568481
},
{
"tensor": "text_encoder.layers.19.self_attn.v_proj.weight",
"shape": [
256,
1152
],
"group_size": 64,
"max_abs_err": 0.0002674043644219637,
"mean_abs_err": 4.329692092142068e-05,
"rel_l2": 0.007957505993545055,
"cosine": 0.9999683499336243
},
{
"tensor": "text_encoder.layers.2.mlp.down_proj.weight",
"shape": [
1152,
6912
],
"group_size": 256,
"max_abs_err": 0.0005183652974665165,
"mean_abs_err": 2.818369830492884e-05,
"rel_l2": 0.008924358524382114,
"cosine": 0.99996018409729
},
{
"tensor": "text_encoder.layers.2.mlp.gate_proj.weight",
"shape": [
6912,
1152
],
"group_size": 64,
"max_abs_err": 0.00022553279995918274,
"mean_abs_err": 2.602654421934858e-05,
"rel_l2": 0.007933931425213814,
"cosine": 0.9999685883522034
},
{
"tensor": "text_encoder.layers.2.mlp.up_proj.weight",
"shape": [
6912,
1152
],
"group_size": 64,
"max_abs_err": 0.00020707445219159126,
"mean_abs_err": 2.5388018912053667e-05,
"rel_l2": 0.007938358001410961,
"cosine": 0.9999685287475586
},
{
"tensor": "text_encoder.layers.2.self_attn.k_proj.weight",
"shape": [
256,
1152
],
"group_size": 64,
"max_abs_err": 0.00031521497294306755,
"mean_abs_err": 3.5276400012662634e-05,
"rel_l2": 0.008057917468249798,
"cosine": 0.9999675154685974
},
{
"tensor": "text_encoder.layers.2.self_attn.o_proj.weight",
"shape": [
1152,
1024
],
"group_size": 256,
"max_abs_err": 0.0003803437575697899,
"mean_abs_err": 4.029880074085668e-05,
"rel_l2": 0.008644454181194305,
"cosine": 0.999962568283081
},
{
"tensor": "text_encoder.layers.2.self_attn.q_proj.weight",
"shape": [
1024,
1152
],
"group_size": 64,
"max_abs_err": 0.00039730523712933064,
"mean_abs_err": 3.8624624721705914e-05,
"rel_l2": 0.008003915660083294,
"cosine": 0.9999679327011108
},
{
"tensor": "text_encoder.layers.2.self_attn.v_proj.weight",
"shape": [
256,
1152
],
"group_size": 64,
"max_abs_err": 0.0002723131328821182,
"mean_abs_err": 3.8944253901718184e-05,
"rel_l2": 0.008008047007024288,
"cosine": 0.9999679923057556
},
{
"tensor": "text_encoder.layers.20.mlp.down_proj.weight",
"shape": [
1152,
6912
],
"group_size": 256,
"max_abs_err": 0.0006491672247648239,
"mean_abs_err": 3.229799767723307e-05,
"rel_l2": 0.008937758393585682,
"cosine": 0.9999600648880005
},
{
"tensor": "text_encoder.layers.20.mlp.gate_proj.weight",
"shape": [
6912,
1152
],
"group_size": 64,
"max_abs_err": 0.00027403607964515686,
"mean_abs_err": 3.074506821576506e-05,
"rel_l2": 0.00795432273298502,
"cosine": 0.9999682903289795
},
{
"tensor": "text_encoder.layers.20.mlp.up_proj.weight",
"shape": [
6912,
1152
],
"group_size": 64,
"max_abs_err": 0.00026377150788903236,
"mean_abs_err": 2.891800249926746e-05,
"rel_l2": 0.007955869659781456,
"cosine": 0.9999683499336243
},
{
"tensor": "text_encoder.layers.20.self_attn.k_proj.weight",
"shape": [
256,
1152
],
"group_size": 64,
"max_abs_err": 0.0003809090703725815,
"mean_abs_err": 4.326660928199999e-05,
"rel_l2": 0.007906608283519745,
"cosine": 0.9999687075614929
},
{
"tensor": "text_encoder.layers.20.self_attn.o_proj.weight",
"shape": [
1152,
1024
],
"group_size": 256,
"max_abs_err": 0.0008876696228981018,
"mean_abs_err": 4.7957481001503766e-05,
"rel_l2": 0.008227583952248096,
"cosine": 0.9999661445617676
},
{
"tensor": "text_encoder.layers.20.self_attn.q_proj.weight",
"shape": [
1024,
1152
],
"group_size": 64,
"max_abs_err": 0.0005388744175434113,
"mean_abs_err": 4.741094380733557e-05,
"rel_l2": 0.00797293335199356,
"cosine": 0.9999682903289795
},
{
"tensor": "text_encoder.layers.20.self_attn.v_proj.weight",
"shape": [
256,
1152
],
"group_size": 64,
"max_abs_err": 0.00030053011141717434,
"mean_abs_err": 5.060202965978533e-05,
"rel_l2": 0.00785363744944334,
"cosine": 0.9999691247940063
},
{
"tensor": "text_encoder.layers.21.mlp.down_proj.weight",
"shape": [
1152,
6912
],
"group_size": 256,
"max_abs_err": 0.0005132327787578106,
"mean_abs_err": 3.251562884543091e-05,
"rel_l2": 0.00896418560296297,
"cosine": 0.9999598264694214
},
{
"tensor": "text_encoder.layers.21.mlp.gate_proj.weight",
"shape": [
6912,
1152
],
"group_size": 64,
"max_abs_err": 0.0003187693655490875,
"mean_abs_err": 3.0183091439539567e-05,
"rel_l2": 0.007937651127576828,
"cosine": 0.9999684691429138
},
{
"tensor": "text_encoder.layers.21.mlp.up_proj.weight",
"shape": [
6912,
1152
],
"group_size": 64,
"max_abs_err": 0.00021067215129733086,
"mean_abs_err": 2.896980004152283e-05,
"rel_l2": 0.007931210100650787,
"cosine": 0.9999685287475586
},
{
"tensor": "text_encoder.layers.21.self_attn.k_proj.weight",
"shape": [
256,
1152
],
"group_size": 64,
"max_abs_err": 0.000399609562009573,
"mean_abs_err": 4.487497790250927e-05,
"rel_l2": 0.00788166094571352,
"cosine": 0.9999690055847168
},
{
"tensor": "text_encoder.layers.21.self_attn.o_proj.weight",
"shape": [
1152,
1024
],
"group_size": 256,
"max_abs_err": 0.0008702920749783516,
"mean_abs_err": 4.8526617320021614e-05,
"rel_l2": 0.008211186155676842,
"cosine": 0.9999662637710571
},
{
"tensor": "text_encoder.layers.21.self_attn.q_proj.weight",
"shape": [
1024,
1152
],
"group_size": 64,
"max_abs_err": 0.0006546098738908768,
"mean_abs_err": 4.890083073405549e-05,
"rel_l2": 0.007904332131147385,
"cosine": 0.9999687671661377
},
{
"tensor": "text_encoder.layers.21.self_attn.v_proj.weight",
"shape": [
256,
1152
],
"group_size": 64,
"max_abs_err": 0.0003481737803667784,
"mean_abs_err": 5.261986734694801e-05,
"rel_l2": 0.007975711487233639,
"cosine": 0.9999680519104004
},
{
"tensor": "text_encoder.layers.22.mlp.down_proj.weight",
"shape": [
1152,
6912
],
"group_size": 256,
"max_abs_err": 0.0005333591252565384,
"mean_abs_err": 3.2385069062002e-05,
"rel_l2": 0.008977968245744705,
"cosine": 0.9999597072601318
},
{
"tensor": "text_encoder.layers.22.mlp.gate_proj.weight",
"shape": [
6912,
1152
],
"group_size": 64,
"max_abs_err": 0.0003626309335231781,
"mean_abs_err": 2.9717686629737727e-05,
"rel_l2": 0.007956316694617271,
"cosine": 0.999968409538269
},
{
"tensor": "text_encoder.layers.22.mlp.up_proj.weight",
"shape": [
6912,
1152
],
"group_size": 64,
"max_abs_err": 0.0002301456406712532,
"mean_abs_err": 2.9052991521894e-05,
"rel_l2": 0.007950742729008198,
"cosine": 0.999968409538269
},
{
"tensor": "text_encoder.layers.22.self_attn.k_proj.weight",
"shape": [
256,
1152
],
"group_size": 64,
"max_abs_err": 0.0004382636398077011,
"mean_abs_err": 4.31239532190375e-05,
"rel_l2": 0.00788606982678175,
"cosine": 0.9999690055847168
},
{
"tensor": "text_encoder.layers.22.self_attn.o_proj.weight",
"shape": [
1152,
1024
],
"group_size": 256,
"max_abs_err": 0.000702960416674614,
"mean_abs_err": 4.8429985326947644e-05,
"rel_l2": 0.008221814408898354,
"cosine": 0.9999662041664124
},
{
"tensor": "text_encoder.layers.22.self_attn.q_proj.weight",
"shape": [
1024,
1152
],
"group_size": 64,
"max_abs_err": 0.0006164312362670898,
"mean_abs_err": 5.0034901505568996e-05,
"rel_l2": 0.007989372126758099,
"cosine": 0.9999681115150452
},
{
"tensor": "text_encoder.layers.22.self_attn.v_proj.weight",
"shape": [
256,
1152
],
"group_size": 64,
"max_abs_err": 0.00032069883309304714,
"mean_abs_err": 5.201617022976279e-05,
"rel_l2": 0.007993162609636784,
"cosine": 0.9999681115150452
},
{
"tensor": "text_encoder.layers.23.mlp.down_proj.weight",
"shape": [
1152,
6912
],
"group_size": 256,
"max_abs_err": 0.0006640143692493439,
"mean_abs_err": 3.273362744948827e-05,
"rel_l2": 0.008953742682933807,
"cosine": 0.9999598860740662
},
{
"tensor": "text_encoder.layers.23.mlp.gate_proj.weight",
"shape": [
6912,
1152
],
"group_size": 64,
"max_abs_err": 0.0003001564182341099,
"mean_abs_err": 3.0143761250656098e-05,
"rel_l2": 0.007961604744195938,
"cosine": 0.9999682903289795
},
{
"tensor": "text_encoder.layers.23.mlp.up_proj.weight",
"shape": [
6912,
1152
],
"group_size": 64,
"max_abs_err": 0.0002369892317801714,
"mean_abs_err": 2.888010931201279e-05,
"rel_l2": 0.007948333397507668,
"cosine": 0.9999684691429138
},
{
"tensor": "text_encoder.layers.23.self_attn.k_proj.weight",
"shape": [
256,
1152
],
"group_size": 64,
"max_abs_err": 0.0004116203635931015,
"mean_abs_err": 4.399473255034536e-05,
"rel_l2": 0.007933514192700386,
"cosine": 0.9999685287475586
},
{
"tensor": "text_encoder.layers.23.self_attn.o_proj.weight",
"shape": [
1152,
1024
],
"group_size": 256,
"max_abs_err": 0.0008253478445112705,
"mean_abs_err": 5.497054007719271e-05,
"rel_l2": 0.008845708332955837,
"cosine": 0.9999608397483826
},
{
"tensor": "text_encoder.layers.23.self_attn.q_proj.weight",
"shape": [
1024,
1152
],
"group_size": 64,
"max_abs_err": 0.000773110892623663,
"mean_abs_err": 5.248463276075199e-05,
"rel_l2": 0.007877490483224392,
"cosine": 0.9999690055847168
},
{
"tensor": "text_encoder.layers.23.self_attn.v_proj.weight",
"shape": [
256,
1152
],
"group_size": 64,
"max_abs_err": 0.00033188890665769577,
"mean_abs_err": 5.1554983656387776e-05,
"rel_l2": 0.007833216339349747,
"cosine": 0.9999693036079407
},
{
"tensor": "text_encoder.layers.24.mlp.down_proj.weight",
"shape": [
1152,
6912
],
"group_size": 256,
"max_abs_err": 0.0005075366934761405,
"mean_abs_err": 3.2519499654881656e-05,
"rel_l2": 0.008956735953688622,
"cosine": 0.9999598264694214
},
{
"tensor": "text_encoder.layers.24.mlp.gate_proj.weight",
"shape": [
6912,
1152
],
"group_size": 64,
"max_abs_err": 0.00036054104566574097,
"mean_abs_err": 2.9588718462036923e-05,
"rel_l2": 0.007940402254462242,
"cosine": 0.9999684691429138
},
{
"tensor": "text_encoder.layers.24.mlp.up_proj.weight",
"shape": [
6912,
1152
],
"group_size": 64,
"max_abs_err": 0.00024491280782967806,
"mean_abs_err": 2.889705683628563e-05,
"rel_l2": 0.007936762645840645,
"cosine": 0.9999685287475586
},
{
"tensor": "text_encoder.layers.24.self_attn.k_proj.weight",
"shape": [
256,
1152
],
"group_size": 64,
"max_abs_err": 0.00033783912658691406,
"mean_abs_err": 4.379333768156357e-05,
"rel_l2": 0.00795164704322815,
"cosine": 0.999968409538269
},
{
"tensor": "text_encoder.layers.24.self_attn.o_proj.weight",
"shape": [
1152,
1024
],
"group_size": 256,
"max_abs_err": 0.0006743166595697403,
"mean_abs_err": 4.934396565658972e-05,
"rel_l2": 0.008342010900378227,
"cosine": 0.9999651908874512
},
{
"tensor": "text_encoder.layers.24.self_attn.q_proj.weight",
"shape": [
1024,
1152
],
"group_size": 64,
"max_abs_err": 0.0006714193150401115,
"mean_abs_err": 4.97017172165215e-05,
"rel_l2": 0.007908848114311695,
"cosine": 0.9999686479568481
},
{
"tensor": "text_encoder.layers.24.self_attn.v_proj.weight",
"shape": [
256,
1152
],
"group_size": 64,
"max_abs_err": 0.0003778403624892235,
"mean_abs_err": 5.1999606512254104e-05,
"rel_l2": 0.007967795245349407,
"cosine": 0.9999682903289795
},
{
"tensor": "text_encoder.layers.25.mlp.down_proj.weight",
"shape": [
1152,
6912
],
"group_size": 256,
"max_abs_err": 0.00048340484499931335,
"mean_abs_err": 3.3497504773549736e-05,
"rel_l2": 0.009017049334943295,
"cosine": 0.9999593496322632
},
{
"tensor": "text_encoder.layers.25.mlp.gate_proj.weight",
"shape": [
6912,
1152
],
"group_size": 64,
"max_abs_err": 0.00032267882488667965,
"mean_abs_err": 2.9604585506604053e-05,
"rel_l2": 0.007950881496071815,
"cosine": 0.999968409538269
},
{
"tensor": "text_encoder.layers.25.mlp.up_proj.weight",
"shape": [
6912,
1152
],
"group_size": 64,
"max_abs_err": 0.0002512042410671711,
"mean_abs_err": 2.9527474907808937e-05,
"rel_l2": 0.007959000766277313,
"cosine": 0.9999682903289795
},
{
"tensor": "text_encoder.layers.25.self_attn.k_proj.weight",
"shape": [
256,
1152
],
"group_size": 64,
"max_abs_err": 0.0004110862500965595,
"mean_abs_err": 4.4241918658372015e-05,
"rel_l2": 0.008024119772017002,
"cosine": 0.9999677538871765
},
{
"tensor": "text_encoder.layers.25.self_attn.o_proj.weight",
"shape": [
1152,
1024
],
"group_size": 256,
"max_abs_err": 0.0007032370194792747,
"mean_abs_err": 5.101178612676449e-05,
"rel_l2": 0.008469551801681519,
"cosine": 0.9999642372131348
},
{
"tensor": "text_encoder.layers.25.self_attn.q_proj.weight",
"shape": [
1024,
1152
],
"group_size": 64,
"max_abs_err": 0.0007719739805907011,
"mean_abs_err": 5.182607492315583e-05,
"rel_l2": 0.0079177375882864,
"cosine": 0.9999686479568481
},
{
"tensor": "text_encoder.layers.25.self_attn.v_proj.weight",
"shape": [
256,
1152
],
"group_size": 64,
"max_abs_err": 0.00033121462911367416,
"mean_abs_err": 5.0364051276119426e-05,
"rel_l2": 0.007952168583869934,
"cosine": 0.9999682903289795
},
{
"tensor": "text_encoder.layers.3.mlp.down_proj.weight",
"shape": [
1152,
6912
],
"group_size": 256,
"max_abs_err": 0.00045041926205158234,
"mean_abs_err": 2.776979272312019e-05,
"rel_l2": 0.009012777358293533,
"cosine": 0.9999593496322632
},
{
"tensor": "text_encoder.layers.3.mlp.gate_proj.weight",
"shape": [
6912,
1152
],
"group_size": 64,
"max_abs_err": 0.00019633164629340172,
"mean_abs_err": 2.515634332667105e-05,
"rel_l2": 0.007925971411168575,
"cosine": 0.9999686479568481
},
{
"tensor": "text_encoder.layers.3.mlp.up_proj.weight",
"shape": [
6912,
1152
],
"group_size": 64,
"max_abs_err": 0.00019867811352014542,
"mean_abs_err": 2.415253584331367e-05,
"rel_l2": 0.007924104109406471,
"cosine": 0.9999685287475586
},
{
"tensor": "text_encoder.layers.3.self_attn.k_proj.weight",
"shape": [
256,
1152
],
"group_size": 64,
"max_abs_err": 0.0002787295961752534,
"mean_abs_err": 3.568042302504182e-05,
"rel_l2": 0.007939119823276997,
"cosine": 0.9999685287475586
},
{
"tensor": "text_encoder.layers.3.self_attn.o_proj.weight",
"shape": [
1152,
1024
],
"group_size": 256,
"max_abs_err": 0.0005836784839630127,
"mean_abs_err": 4.3145690142409876e-05,
"rel_l2": 0.00878596119582653,
"cosine": 0.9999613761901855
},
{
"tensor": "text_encoder.layers.3.self_attn.q_proj.weight",
"shape": [
1024,
1152
],
"group_size": 64,
"max_abs_err": 0.0003864225000143051,
"mean_abs_err": 3.779773396672681e-05,
"rel_l2": 0.00792684406042099,
"cosine": 0.9999685883522034
},
{
"tensor": "text_encoder.layers.3.self_attn.v_proj.weight",
"shape": [
256,
1152
],
"group_size": 64,
"max_abs_err": 0.00025805551558732986,
"mean_abs_err": 4.1465806134510785e-05,
"rel_l2": 0.00786999799311161,
"cosine": 0.9999690055847168
},
{
"tensor": "text_encoder.layers.4.mlp.down_proj.weight",
"shape": [
1152,
6912
],
"group_size": 256,
"max_abs_err": 0.0003335271030664444,
"mean_abs_err": 2.8222735636518337e-05,
"rel_l2": 0.008878986351191998,
"cosine": 0.9999604821205139
},
{
"tensor": "text_encoder.layers.4.mlp.gate_proj.weight",
"shape": [
6912,
1152
],
"group_size": 64,
"max_abs_err": 0.000200013630092144,
"mean_abs_err": 2.624926491989754e-05,
"rel_l2": 0.00792849063873291,
"cosine": 0.9999685883522034
},
{
"tensor": "text_encoder.layers.4.mlp.up_proj.weight",
"shape": [
6912,
1152
],
"group_size": 64,
"max_abs_err": 0.0001984627451747656,
"mean_abs_err": 2.4439248591079377e-05,
"rel_l2": 0.00793036725372076,
"cosine": 0.9999685883522034
},
{
"tensor": "text_encoder.layers.4.self_attn.k_proj.weight",
"shape": [
256,
1152
],
"group_size": 64,
"max_abs_err": 0.0002502409042790532,
"mean_abs_err": 3.472494427114725e-05,
"rel_l2": 0.007939684204757214,
"cosine": 0.9999684691429138
},
{
"tensor": "text_encoder.layers.4.self_attn.o_proj.weight",
"shape": [
1152,
1024
],
"group_size": 256,
"max_abs_err": 0.0006269481964409351,
"mean_abs_err": 4.2735569877550006e-05,
"rel_l2": 0.008397187106311321,
"cosine": 0.9999647736549377
},
{
"tensor": "text_encoder.layers.4.self_attn.q_proj.weight",
"shape": [
1024,
1152
],
"group_size": 64,
"max_abs_err": 0.00034347735345363617,
"mean_abs_err": 3.841929355985485e-05,
"rel_l2": 0.007910806685686111,
"cosine": 0.9999686479568481
},
{
"tensor": "text_encoder.layers.4.self_attn.v_proj.weight",
"shape": [
256,
1152
],
"group_size": 64,
"max_abs_err": 0.00024229881819337606,
"mean_abs_err": 3.859053322230466e-05,
"rel_l2": 0.0079184053465724,
"cosine": 0.9999686479568481
},
{
"tensor": "text_encoder.layers.5.mlp.down_proj.weight",
"shape": [
1152,
6912
],
"group_size": 256,
"max_abs_err": 0.0005854256451129913,
"mean_abs_err": 2.9199924028944224e-05,
"rel_l2": 0.008913605473935604,
"cosine": 0.9999602437019348
},
{
"tensor": "text_encoder.layers.5.mlp.gate_proj.weight",
"shape": [
6912,
1152
],
"group_size": 64,
"max_abs_err": 0.0002213150728493929,
"mean_abs_err": 2.7515470719663426e-05,
"rel_l2": 0.00794124323874712,
"cosine": 0.9999685287475586
},
{
"tensor": "text_encoder.layers.5.mlp.up_proj.weight",
"shape": [
6912,
1152
],
"group_size": 64,
"max_abs_err": 0.0002093187067657709,
"mean_abs_err": 2.5714480216265656e-05,
"rel_l2": 0.007949605584144592,
"cosine": 0.999968409538269
},
{
"tensor": "text_encoder.layers.5.self_attn.k_proj.weight",
"shape": [
256,
1152
],
"group_size": 64,
"max_abs_err": 0.00026402773801237345,
"mean_abs_err": 3.13116870529484e-05,
"rel_l2": 0.008024748414754868,
"cosine": 0.9999678730964661
},
{
"tensor": "text_encoder.layers.5.self_attn.o_proj.weight",
"shape": [
1152,
1024
],
"group_size": 256,
"max_abs_err": 0.0008032806217670441,
"mean_abs_err": 4.272177829989232e-05,
"rel_l2": 0.00882418267428875,
"cosine": 0.9999611377716064
},
{
"tensor": "text_encoder.layers.5.self_attn.q_proj.weight",
"shape": [
1024,
1152
],
"group_size": 64,
"max_abs_err": 0.0004293927922844887,
"mean_abs_err": 3.857156480080448e-05,
"rel_l2": 0.007992702536284924,
"cosine": 0.9999680519104004
},
{
"tensor": "text_encoder.layers.5.self_attn.v_proj.weight",
"shape": [
256,
1152
],
"group_size": 64,
"max_abs_err": 0.00028262659907341003,
"mean_abs_err": 3.9967340853763744e-05,
"rel_l2": 0.007882468402385712,
"cosine": 0.9999688863754272
},
{
"tensor": "text_encoder.layers.6.mlp.down_proj.weight",
"shape": [
1152,
6912
],
"group_size": 256,
"max_abs_err": 0.0007869638502597809,
"mean_abs_err": 3.033451321243774e-05,
"rel_l2": 0.008966636843979359,
"cosine": 0.9999598264694214
},
{
"tensor": "text_encoder.layers.6.mlp.gate_proj.weight",
"shape": [
6912,
1152
],
"group_size": 64,
"max_abs_err": 0.0002321251668035984,
"mean_abs_err": 2.8264252250664867e-05,
"rel_l2": 0.007936658337712288,
"cosine": 0.9999684691429138
},
{
"tensor": "text_encoder.layers.6.mlp.up_proj.weight",
"shape": [
6912,
1152
],
"group_size": 64,
"max_abs_err": 0.00020975619554519653,
"mean_abs_err": 2.687431151571218e-05,
"rel_l2": 0.00793658196926117,
"cosine": 0.9999685287475586
},
{
"tensor": "text_encoder.layers.6.self_attn.k_proj.weight",
"shape": [
256,
1152
],
"group_size": 64,
"max_abs_err": 0.0003668307326734066,
"mean_abs_err": 3.830580317298882e-05,
"rel_l2": 0.00800922978669405,
"cosine": 0.9999679327011108
},
{
"tensor": "text_encoder.layers.6.self_attn.o_proj.weight",
"shape": [
1152,
1024
],
"group_size": 256,
"max_abs_err": 0.0004354706034064293,
"mean_abs_err": 4.333802644396201e-05,
"rel_l2": 0.008297188207507133,
"cosine": 0.9999656081199646
},
{
"tensor": "text_encoder.layers.6.self_attn.q_proj.weight",
"shape": [
1024,
1152
],
"group_size": 64,
"max_abs_err": 0.000540098175406456,
"mean_abs_err": 4.0013848774833605e-05,
"rel_l2": 0.007958641275763512,
"cosine": 0.9999682903289795
},
{
"tensor": "text_encoder.layers.6.self_attn.v_proj.weight",
"shape": [
256,
1152
],
"group_size": 64,
"max_abs_err": 0.0002861279062926769,
"mean_abs_err": 4.073204399901442e-05,
"rel_l2": 0.007924570702016354,
"cosine": 0.9999685883522034
},
{
"tensor": "text_encoder.layers.7.mlp.down_proj.weight",
"shape": [
1152,
6912
],
"group_size": 256,
"max_abs_err": 0.0005717342719435692,
"mean_abs_err": 3.029292929568328e-05,
"rel_l2": 0.00893236044794321,
"cosine": 0.9999601244926453
},
{
"tensor": "text_encoder.layers.7.mlp.gate_proj.weight",
"shape": [
6912,
1152
],
"group_size": 64,
"max_abs_err": 0.0002617649734020233,
"mean_abs_err": 2.7768001018557698e-05,
"rel_l2": 0.007922813296318054,
"cosine": 0.9999686479568481
},
{
"tensor": "text_encoder.layers.7.mlp.up_proj.weight",
"shape": [
6912,
1152
],
"group_size": 64,
"max_abs_err": 0.00024792831391096115,
"mean_abs_err": 2.615756238810718e-05,
"rel_l2": 0.007923275232315063,
"cosine": 0.9999686479568481
},
{
"tensor": "text_encoder.layers.7.self_attn.k_proj.weight",
"shape": [
256,
1152
],
"group_size": 64,
"max_abs_err": 0.00026348279789090157,
"mean_abs_err": 3.8971546018728986e-05,
"rel_l2": 0.008038604632019997,
"cosine": 0.9999676942825317
},
{
"tensor": "text_encoder.layers.7.self_attn.o_proj.weight",
"shape": [
1152,
1024
],
"group_size": 256,
"max_abs_err": 0.0005475282669067383,
"mean_abs_err": 4.106058622710407e-05,
"rel_l2": 0.008104524575173855,
"cosine": 0.9999671578407288
},
{
"tensor": "text_encoder.layers.7.self_attn.q_proj.weight",
"shape": [
1024,
1152
],
"group_size": 64,
"max_abs_err": 0.00045084208250045776,
"mean_abs_err": 3.926951831090264e-05,
"rel_l2": 0.007955125533044338,
"cosine": 0.9999683499336243
},
{
"tensor": "text_encoder.layers.7.self_attn.v_proj.weight",
"shape": [
256,
1152
],
"group_size": 64,
"max_abs_err": 0.0002508438192307949,
"mean_abs_err": 4.0381986764259636e-05,
"rel_l2": 0.007943028584122658,
"cosine": 0.9999684691429138
},
{
"tensor": "text_encoder.layers.8.mlp.down_proj.weight",
"shape": [
1152,
6912
],
"group_size": 256,
"max_abs_err": 0.0005675088614225388,
"mean_abs_err": 3.0484201488434337e-05,
"rel_l2": 0.008994260802865028,
"cosine": 0.9999595880508423
},
{
"tensor": "text_encoder.layers.8.mlp.gate_proj.weight",
"shape": [
6912,
1152
],
"group_size": 64,
"max_abs_err": 0.00024007679894566536,
"mean_abs_err": 2.7520332878339104e-05,
"rel_l2": 0.00794390682131052,
"cosine": 0.9999684691429138
},
{
"tensor": "text_encoder.layers.8.mlp.up_proj.weight",
"shape": [
6912,
1152
],
"group_size": 64,
"max_abs_err": 0.00018938904395326972,
"mean_abs_err": 2.6035202608909458e-05,
"rel_l2": 0.007932097651064396,
"cosine": 0.9999684691429138
},
{
"tensor": "text_encoder.layers.8.self_attn.k_proj.weight",
"shape": [
256,
1152
],
"group_size": 64,
"max_abs_err": 0.00024977908469736576,
"mean_abs_err": 3.885027763317339e-05,
"rel_l2": 0.008003909140825272,
"cosine": 0.9999678134918213
},
{
"tensor": "text_encoder.layers.8.self_attn.o_proj.weight",
"shape": [
1152,
1024
],
"group_size": 256,
"max_abs_err": 0.0005518754478543997,
"mean_abs_err": 4.470529893296771e-05,
"rel_l2": 0.008474930189549923,
"cosine": 0.9999641180038452
},
{
"tensor": "text_encoder.layers.8.self_attn.q_proj.weight",
"shape": [
1024,
1152
],
"group_size": 64,
"max_abs_err": 0.00039626751095056534,
"mean_abs_err": 3.9939033740665764e-05,
"rel_l2": 0.007926104590296745,
"cosine": 0.9999686479568481
},
{
"tensor": "text_encoder.layers.8.self_attn.v_proj.weight",
"shape": [
256,
1152
],
"group_size": 64,
"max_abs_err": 0.0002555013634264469,
"mean_abs_err": 4.049383642268367e-05,
"rel_l2": 0.007914336398243904,
"cosine": 0.9999687075614929
},
{
"tensor": "text_encoder.layers.9.mlp.down_proj.weight",
"shape": [
1152,
6912
],
"group_size": 256,
"max_abs_err": 0.0004992559552192688,
"mean_abs_err": 3.0718092602910474e-05,
"rel_l2": 0.008930213749408722,
"cosine": 0.99996018409729
},
{
"tensor": "text_encoder.layers.9.mlp.gate_proj.weight",
"shape": [
6912,
1152
],
"group_size": 64,
"max_abs_err": 0.00023995828814804554,
"mean_abs_err": 2.6906536731985398e-05,
"rel_l2": 0.007929641753435135,
"cosine": 0.9999685287475586
},
{
"tensor": "text_encoder.layers.9.mlp.up_proj.weight",
"shape": [
6912,
1152
],
"group_size": 64,
"max_abs_err": 0.0002329070121049881,
"mean_abs_err": 2.6256580895278603e-05,
"rel_l2": 0.007917355746030807,
"cosine": 0.9999687671661377
},
{
"tensor": "text_encoder.layers.9.self_attn.k_proj.weight",
"shape": [
256,
1152
],
"group_size": 64,
"max_abs_err": 0.0004360424354672432,
"mean_abs_err": 3.7818590499227867e-05,
"rel_l2": 0.007931231521070004,
"cosine": 0.9999685287475586
},
{
"tensor": "text_encoder.layers.9.self_attn.o_proj.weight",
"shape": [
1152,
1024
],
"group_size": 256,
"max_abs_err": 0.00048078224062919617,
"mean_abs_err": 4.2723873775685206e-05,
"rel_l2": 0.008095338009297848,
"cosine": 0.9999672770500183
},
{
"tensor": "text_encoder.layers.9.self_attn.q_proj.weight",
"shape": [
1024,
1152
],
"group_size": 64,
"max_abs_err": 0.000507330521941185,
"mean_abs_err": 4.0819038986228406e-05,
"rel_l2": 0.007977495901286602,
"cosine": 0.9999681711196899
},
{
"tensor": "text_encoder.layers.9.self_attn.v_proj.weight",
"shape": [
256,
1152
],
"group_size": 64,
"max_abs_err": 0.00026716198772192,
"mean_abs_err": 4.0962644561659545e-05,
"rel_l2": 0.007875950075685978,
"cosine": 0.9999690055847168
}
]
}