New models
Browse files- app.py +3 -0
- static/leaderboard.csv +49 -44
- static/models_data/cardinal.svg +705 -459
- static/models_data/gemma-2-9b-it/cfa_metrics.csv +7 -0
- static/models_data/gemma-2-9b-it/matrix.svg +24 -24
- static/models_data/gemma-2-9b-it/ranks.svg +0 -0
- static/models_data/gemma-2-9b-it/structure.svg +0 -0
- static/models_data/ordinal.svg +891 -645
- static/models_data/phi-4/matrix.svg +24 -24
- static/models_data/phi-4/ranks.svg +0 -0
- static/models_data/phi-4/structure.svg +0 -0
app.py
CHANGED
@@ -60,6 +60,9 @@ def index():
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def model_detail(model_name):
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df = pd.read_csv(f'static/models_data/{model_name}/cfa_metrics.csv')
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df = df.round(3)
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df.insert(0, '#', '')
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def model_detail(model_name):
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df = pd.read_csv(f'static/models_data/{model_name}/cfa_metrics.csv')
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# raise error if the df does not have 9 rows
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if df.shape[0] != 9:
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raise ValueError(f"Expected 9 rows in the CFA metrics CSV file, got {df.shape[0]}.")
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df = df.round(3)
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df.insert(0, '#', '')
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static/leaderboard.csv
CHANGED
@@ -1,45 +1,50 @@
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Model,Ordinal (Win rate),Cardinal (Score),RO Stability,Stress,CFI,SRMR,RMSEA
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llama_3.
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Qwen2
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Model,Ordinal (Win rate),Cardinal (Score),RO Stability,Stress,CFI,SRMR,RMSEA
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2 |
+
Dolphin3.0-Mistral-24B,0.43518518518518523,0.4109145498091707,0.30325113823532956,0.2448575989123979,0.42509722222222224,0.5472416666666666,0.5586861111111112
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3 |
+
dolphin-2.9.2-qwen2-72b,0.4288194444444444,0.419293239999323,0.3563924678118336,0.23967117347497235,0.37208888888888886,0.6048944444444444,0.5987472222222222
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+
Mistral-Large-Instruct-2411,0.7309027777777778,0.6622695500174903,0.6757331288014612,0.1797177817325889,0.5662249999999999,0.37859999999999994,0.4126833333333333
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5 |
+
Dracarys-72B-Instruct,0.5734953703703703,0.5493254808101572,0.6288139430434564,0.20048803680368033,0.34225833333333333,0.6266499999999999,0.6357722222222223
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6 |
+
Qwen2.5-14B-Instruct-1M,0.5807291666666666,0.54563004132866,0.4384933916905111,0.23996656946609862,0.606225,0.38121388888888896,0.37397777777777785
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7 |
+
phi-4,0.369212962962963,0.3704371621418185,0.1281161101838446,0.26194492137860814,0.5092972222222223,0.4079166666666667,0.38840277777777776
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8 |
+
Llama-3.1-Tulu-3-70B-DPO,0.36863425925925924,0.3596139752709628,0.29702121128617454,0.24487582075477365,0.2888666666666666,0.6782194444444445,0.6769444444444443
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+
Falcon3-10B-Instruct,0.2760416666666667,0.3089574335019922,0.11488806927790406,0.2675372535401236,0.40780833333333333,0.57435,0.5538138888888888
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Ministrations-8B-v1,0.5975115740740741,0.5629212654972728,0.5060368869776407,0.22452742393237857,0.5590166666666667,0.42490000000000006,0.4303666666666667
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Cydonia-22B-v1.2,0.7118055555555556,0.6554547368791501,0.6193557112491432,0.19415994996337282,0.6361166666666667,0.3338083333333334,0.3419333333333332
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Nautilus-70B-v0.1,0.7847222222222222,0.7074335111695115,0.6326443266767067,0.1814758840174009,0.7506972222222221,0.20927777777777778,0.23105277777777777
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Ministral-8B-Instruct-2410,0.5465856481481483,0.5196862499633303,0.4120903823316509,0.24045486295329566,0.5791333333333334,0.4199666666666668,0.4095833333333334
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llama-3.1-nemotron-70B-instruct,0.8726851851851852,0.751782963334874,0.7174031652092134,0.16209339860230643,0.7561694444444446,0.21189444444444439,0.23753055555555547
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hermes_3_llama_3.1_70b,0.5257523148148149,0.47953495168653426,0.2589918470169178,0.22941277457539844,0.6493000000000001,0.3096972222222222,0.3098777777777778
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hermes_3_llama_3.1_8b,0.41290509259259256,0.4117221943281449,0.16520527634373441,0.25311021741644446,0.5822944444444444,0.3526722222222223,0.3435555555555555
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gemma-2-2b-it,0.31886574074074076,0.3309858600428668,0.14746606707946294,0.263080165752695,0.40932500000000005,0.550475,0.5377472222222222
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gemma-2-9b-it,0.7051504629629629,0.6020857503693501,0.43782539244147833,0.20116278903333318,0.7543666666666667,0.23989444444444452,0.24792499999999995
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gemma-2-27b-it,0.5969328703703705,0.5270946699366518,0.3917304045417486,0.2058170364515589,0.5997861111111111,0.37121111111111116,0.37292222222222227
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phi-3-mini-128k-instruct,0.2934027777777778,0.32984992817164005,0.039299993295009855,0.281800547806919,0.5861361111111111,0.42524166666666674,0.3974944444444444
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phi-3-medium-128k-instruct,0.28964120370370366,0.30802986933853177,0.09692037989916814,0.2651981204439735,0.43025555555555556,0.5503277777777777,0.5381722222222222
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phi-3.5-mini-instruct,0.2152777777777778,0.2680653144619754,0.0361229186530762,0.28422749224983457,0.40715555555555555,0.5721138888888888,0.5507833333333333
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phi-3.5-MoE-instruct,0.35185185185185186,0.36128192067041315,0.10985291697837646,0.2739229692168671,0.5530944444444444,0.4248777777777778,0.40345
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Mistral-7B-Instruct-v0.1,0.19618055555555555,0.26609566354811315,0.027216280472015988,0.2829498135031582,0.38917777777777773,0.5561138888888888,0.530213888888889
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Mistral-7B-Instruct-v0.2,0.30497685185185186,0.32133832899241477,0.14417876497818388,0.265188983528973,0.3802722222222222,0.5727305555555555,0.5483611111111111
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Mistral-7B-Instruct-v0.3,0.22164351851851852,0.26572479479146804,0.07960539866974455,0.2742399030139009,0.31385,0.6241,0.6081333333333333
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Mixtral-8x7B-Instruct-v0.1,0.38512731481481477,0.3819009850972602,0.21473356319081474,0.2624402608740656,0.45275,0.5034666666666667,0.4905694444444444
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Mixtral-8x22B-Instruct-v0.1,0.3012152777777778,0.31529864972153404,0.1414001940345544,0.2548838005881672,0.3772361111111111,0.5810888888888889,0.5844750000000001
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command_r_plus,0.5413773148148148,0.4995356672762356,0.3429686514651868,0.23811982320641845,0.6033000000000001,0.3740166666666668,0.3667527777777777
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llama_3_8b_instruct,0.44675925925925924,0.4295836112681494,0.24527785038654715,0.245806400289881,0.5498222222222222,0.42656388888888896,0.42189444444444446
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llama_3_70b_instruct,0.7621527777777778,0.6839540364836003,0.607020698814379,0.18525883672204868,0.7210055555555557,0.2346083333333333,0.25758888888888887
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llama_3.1_8b_instruct,0.5324074074074073,0.4786874422110324,0.4295080949846363,0.22060228669473025,0.4305722222222223,0.5455027777777777,0.553
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llama_3.1_70b_instruct,0.8125,0.7172545013390067,0.691365862744007,0.1709718847084183,0.6979472222222223,0.2636777777777777,0.2907250000000001
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llama_3.3_70b_instruct,0.8394097222222222,0.7312232033647639,0.7140528865685338,0.16560091935602395,0.7000888888888889,0.2521833333333334,0.2887305555555556
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llama_3.1_405b_instruct_4bit,0.7364004629629629,0.6490864350383405,0.7232098126552619,0.1702199925365422,0.4875722222222223,0.4963444444444445,0.5211555555555556
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llama_3.2_1b_instruct,0.19502314814814817,0.2522036562381785,0.027192115495770382,0.29255310096654275,0.37450000000000006,0.5990222222222223,0.5740638888888888
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llama_3.2_3b_instruct,0.35127314814814814,0.3615804465210719,0.13450325180647235,0.27485276839064654,0.5017,0.44956666666666667,0.4226500000000001
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Qwen2-7B-Instruct,0.3619791666666667,0.36370005127542027,0.25108519506513916,0.25776537005719313,0.3560861111111111,0.6009722222222222,0.5920888888888889
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Qwen2-72B-Instruct,0.5732060185185185,0.5461212335522644,0.6465993243020925,0.20297742879025626,0.3045,0.6543138888888889,0.6646361111111111
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Qwen2.5-0.5B-Instruct,0.267650462962963,0.3005554090516966,0.002970456550606876,0.2928913315666324,0.5371250000000001,0.44709722222222226,0.404575
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Qwen2.5-7B-Instruct,0.5570023148148148,0.5163098181421168,0.333554494486959,0.2505866550331236,0.6473694444444444,0.30400277777777773,0.29651944444444434
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Qwen2.5-32B-Instruct,0.7335069444444444,0.656917654644944,0.6724190751477237,0.1806656189868978,0.5603222222222223,0.40237500000000004,0.41161666666666663
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Qwen2.5-72B-Instruct,0.8171296296296295,0.7104489147495714,0.6974116787371809,0.16176650806326276,0.6734583333333333,0.2993,0.3184472222222223
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gpt-3.5-turbo-0125,0.21267361111111108,0.28218378886707396,0.08240359836763214,0.28728574920060357,0.3873055555555555,0.599925,0.572238888888889
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gpt-4o-0513,0.6643518518518517,0.5989532974661671,0.5122163952167618,0.19201420113771173,0.6235416666666667,0.34458611111111115,0.3441805555555555
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+
gpt-4o-mini-2024-07-18,0.32754629629629634,0.3418785071827972,0.13575309046266867,0.2707065266105181,0.44214722222222214,0.5004583333333332,0.47896666666666665
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Mistral-Large-Instruct-2407,0.8388310185185185,0.7374229691535793,0.7644582301049158,0.16944638941325085,0.6510750000000001,0.31028611111111104,0.3297916666666667
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+
Mistral-Nemo-Instruct-2407,0.5494791666666666,0.5262426956484347,0.4414072595011627,0.21142636170606344,0.5161,0.42923055555555545,0.43113055555555546
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+
Mistral-Small-Instruct-2409,0.7644675925925926,0.6890378862258165,0.6416815833333804,0.1894343546381,0.6840472222222221,0.2601583333333335,0.2888777777777778
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dummy,0.17100694444444445,0.2291015386716794,-0.009004148398032956,0.2928877637010999,0.3755222222222222,0.622275,0.5915305555555557
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static/models_data/cardinal.svg
CHANGED
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static/models_data/gemma-2-9b-it/cfa_metrics.csv
CHANGED
@@ -1,3 +1,10 @@
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Context chunk,CFI,TLI,SRMR,RMSEA
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chunk_chess_0,0.911425,0.8817499999999999,0.08405,0.1146
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chunk_grammar_1,0.901925,0.87,0.082675,0.110675
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Context chunk,CFI,TLI,SRMR,RMSEA
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chunk_0,0.888425,0.8612500000000001,0.094,0.0795
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chunk_1,0.897575,0.879875,0.09025,0.0885
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chunk_2,0.699975,0.6807000000000001,0.3105,0.3014
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chunk_3,0.673925,0.657025,0.31282499999999996,0.307475
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chunk_4,0.47187500000000004,0.45735000000000003,0.5402499999999999,0.5511
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chunk_chess_0,0.911425,0.8817499999999999,0.08405,0.1146
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chunk_grammar_1,0.901925,0.87,0.082675,0.110675
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chunk_no_conv,0.702225,0.683525,0.31505000000000005,0.33699999999999997
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chunk_svs_no_conv,0.64195,0.610225,0.32944999999999997,0.341075
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static/models_data/gemma-2-9b-it/matrix.svg
CHANGED
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static/models_data/gemma-2-9b-it/ranks.svg
CHANGED
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static/models_data/gemma-2-9b-it/structure.svg
CHANGED
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static/models_data/ordinal.svg
CHANGED
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static/models_data/phi-4/matrix.svg
CHANGED
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static/models_data/phi-4/ranks.svg
CHANGED
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static/models_data/phi-4/structure.svg
CHANGED
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