emolero commited on
Commit
1e95937
·
verified ·
1 Parent(s): 1bf748a

Update leaderboard_scores.csv with 83 models from MWC leaderboard

Browse files
Files changed (1) hide show
  1. leaderboard_scores.csv +48 -63
leaderboard_scores.csv CHANGED
@@ -34,66 +34,51 @@ llama-4-maverick,Meta,32,0.596,7,"[0.802, 0.012608]","[0.34, 0.04761]","[0.7, 0.
34
  deepseek-v3-0324,DeepSeek,33,0.592762,7,"[0.816, 0.012259]","[0.28, 0.045126]","[0.793333, 0.033172]","[0.8, 0.032769]","[0.57, 0.049757]","[0.4, 0.049237]","[0.49, 0.050242]"
35
  gpt-oss-120b,OpenAI,34,0.582714,7,"[0.799, 0.012679]","[0.3, 0.046057]","[0.8, 0.032769]","[0.84, 0.030034]","[0.57, 0.049757]","[0.45, 0.05]","[0.32, 0.046883]"
36
  gpt-4.1-mini,OpenAI,35,0.580243,7,"[0.795, 0.012773]","[0.3, 0.046057]","[0.8067, 0.032352]","[0.8, 0.032769]","[0.59, 0.049431]","[0.4, 0.049237]","[0.37, 0.048524]"
37
- chatgpt-4o-latest,OpenAI,36,0.578,5,"[0.81, 0.012412]","[0.32, 0.046883]",,,"[0.66, 0.04761]","[0.52, 0.050212]","[0.58, 0.049604]"
38
- deepseek-v3p1,DeepSeek,37,0.5482,5,"[0.791, 0.012864]","[0.31, 0.046482]",,,"[0.63, 0.048524]","[0.49, 0.050242]","[0.52, 0.050212]"
39
- llama-v3p3-70b-instruct,Meta,38,0.546614,7,"[0.773, 0.013253]","[0.29, 0.045605]","[0.76, 0.034988]","[0.8533, 0.028982]","[0.45, 0.05]","[0.18, 0.038612]","[0.52, 0.050212]"
40
- qwen2.5-72b,Qwen,39,0.539686,7,"[0.7649, 0.0042]","[0.292, 0.0203]","[0.7471, 0.0112]","[0.7947, 0.0104]","[0.4547, 0.021]","[0.2731, 0.013]","[0.4513, 0.0111]"
41
- command-a,Cohere,40,0.535,7,"[0.775, 0.013212]","[0.29, 0.045605]","[0.82, 0.031474]","[0.78, 0.033936]","[0.41, 0.049431]","[0.28, 0.045126]","[0.39, 0.049021]"
42
- mistral-small-24b,Mistral,41,0.516271,7,"[0.7374, 0.0044]","[0.2973, 0.0204]","[0.7171, 0.0116]","[0.763, 0.011]","[0.3613, 0.0207]","[0.2311, 0.0127]","[0.5067, 0.0112]"
43
- gpt-4o-mini,OpenAI,42,0.512519,7,"[0.751, 0.013682]","[0.37, 0.048524]","[0.753333, 0.035315]","[0.8133, 0.031921]","[0.39, 0.049021]","[0.13, 0.0338]","[0.38, 0.048783]"
44
- qwen2.5-32b,Qwen,43,0.506714,7,"[0.7499, 0.0043]","[0.2853, 0.0201]","[0.7327, 0.0114]","[0.7594, 0.011]","[0.4187, 0.0207]","[0.2488, 0.0128]","[0.3522, 0.0107]"
45
- phi-4-14b,Microsoft,44,0.504529,7,"[0.7308, 0.0044]","[0.2993, 0.0199]","[0.7369, 0.0114]","[0.8336, 0.0096]","[0.4007, 0.0209]","[0.1979, 0.0115]","[0.3325, 0.0105]"
46
- gemma3-27b,Google,45,0.504329,7,"[0.7131, 0.0045]","[0.3333, 0.0211]","[0.7158, 0.0116]","[0.8056, 0.0102]","[0.4067, 0.0205]","[0.1601, 0.0108]","[0.3957, 0.0109]"
47
- gpt-5-mini,OpenAI,46,0.501957,7,"[0.447, 0.01573]","[0.28, 0.045126]","[0.5267, 0.040903]","[0.6, 0.040134]","[0.71, 0.045605]","[0.52, 0.050212]","[0.43, 0.049757]"
48
- claude-3.5-haiku,Anthropic,47,0.495233,7,"[0.74, 0.013878]","[0.25, 0.043519]","[0.7733, 0.034299]","[0.753333, 0.035315]","[0.36, 0.048242]","[0.15, 0.035887]","[0.44, 0.049889]"
49
- gpt-4,OpenAI,48,0.485762,7,"[0.767, 0.013375]","[0.18, 0.038612]","[0.733333, 0.036228]","[0.78, 0.033936]","[0.19, 0.039428]","[0.22, 0.041633]","[0.53, 0.050161]"
50
- qwen2.5-14b,Qwen,49,0.485386,7,"[0.7248, 0.0045]","[0.294, 0.0204]","[0.7256, 0.0115]","[0.7763, 0.0108]","[0.324, 0.0193]","[0.218, 0.0112]","[0.335, 0.0106]"
51
- gpt-4.1-nano,OpenAI,50,0.482757,7,"[0.726, 0.014111]","[0.28, 0.045126]","[0.7133, 0.037046]","[0.74, 0.035934]","[0.52, 0.050212]","[0.13, 0.0338]","[0.27, 0.04462]"
52
- qwen3-32b,Qwen,51,0.467714,7,"[0.784, 0.013]","[0.34, 0.048]","[0.746667, 0.03563]","[0.793333, 0.033172]","[0.27, 0.045]","[0.0, 0.0]","[0.34, 0.048]"
53
- mistral-small-22b,Mistral,52,0.4666,7,"[0.6698, 0.0047]","[0.284, 0.0201]","[0.6936, 0.0119]","[0.7696, 0.0109]","[0.2353, 0.0179]","[0.2442, 0.0132]","[0.3697, 0.0108]"
54
- gemma3-12b,Google,53,0.463843,7,"[0.6879, 0.0046]","[0.274, 0.0199]","[0.6953, 0.0119]","[0.8007, 0.0103]","[0.274, 0.0175]","[0.1852, 0.011]","[0.3298, 0.0105]"
55
- falcon3-10b,TII,54,0.458814,7,"[0.6866, 0.0046]","[0.2767, 0.02]","[0.6369, 0.0124]","[0.7679, 0.0109]","[0.3433, 0.0204]","[0.191, 0.0117]","[0.3093, 0.0103]"
56
- gemma2-27b,Google,55,0.458486,7,"[0.718, 0.0045]","[0.2727, 0.0199]","[0.7071, 0.0118]","[0.8111, 0.0101]","[0.2393, 0.0181]","[0.1142, 0.0108]","[0.347, 0.0106]"
57
- claude-3-haiku,Anthropic,56,0.458376,7,"[0.722, 0.014175]","[0.27, 0.04462]","[0.753333, 0.035315]","[0.7533, 0.035315]","[0.21, 0.040936]","[0.1, 0.030151]","[0.4, 0.049237]"
58
- qwen2.5-7b,Qwen,57,0.457943,7,"[0.7024, 0.0046]","[0.3007, 0.0205]","[0.6982, 0.0118]","[0.7772, 0.0107]","[0.2973, 0.019]","[0.1431, 0.0084]","[0.2867, 0.0101]"
59
- claude-sonnet-4.6,Anthropic,58,0.44781,7,"[0.448, 0.0157]","[0.44, 0.0499]","[0.266667, 0.036228]","[0.2, 0.032769]","[0.7, 0.0461]","[0.46, 0.0501]","[0.62, 0.0488]"
60
- phi-4,Microsoft,59,0.444095,7,"[0.682, 0.014734]","[0.21, 0.040936]","[0.713333, 0.037046]","[0.833333, 0.030531]","[0.33, 0.047258]","[0.04, 0.019695]","[0.3, 0.046057]"
61
- gpt-3.5-turbo,OpenAI,60,0.438524,7,"[0.713, 0.014312]","[0.21, 0.040936]","[0.7, 0.037542]","[0.786667, 0.033561]","[0.17, 0.037753]","[0.09, 0.028762]","[0.4, 0.049237]"
62
- granite3.2-8b,IBM,61,0.433729,7,"[0.6745, 0.0047]","[0.288, 0.0203]","[0.676, 0.0121]","[0.8107, 0.0101]","[0.126, 0.0127]","[0.1489, 0.012]","[0.312, 0.0103]"
63
- deepseek-r1-0528,DeepSeek,62,0.433714,7,"[0.726, 0.014111]","[0.11, 0.031447]","[0.786667, 0.033561]","[0.793333, 0.033172]","[0.12, 0.03266]","[0.0, 0.0]","[0.5, 0.050252]"
64
- gemma2-9b,Google,63,0.433614,7,"[0.6938, 0.0046]","[0.2893, 0.0203]","[0.6982, 0.0118]","[0.8038, 0.0102]","[0.1513, 0.0149]","[0.1177, 0.0107]","[0.2812, 0.01]"
65
- qwen2.5-coder-7b,Qwen,64,0.421043,7,"[0.6692, 0.0047]","[0.294, 0.02]","[0.6702, 0.0121]","[0.6507, 0.0123]","[0.2067, 0.0169]","[0.1782, 0.0112]","[0.2783, 0.01]"
66
- mistral-nemo-12b,Mistral,65,0.417729,7,"[0.6422, 0.0048]","[0.278, 0.0199]","[0.6611, 0.0122]","[0.7, 0.037542]","[0.1053, 0.0121]","[0.142, 0.0103]","[0.3955, 0.0109]"
67
- granite3.3-8b,IBM,66,0.414771,7,"[0.6578, 0.0047]","[0.2813, 0.0201]","[0.6618, 0.0122]","[0.7579, 0.011]","[0.1433, 0.0138]","[0.1335, 0.0107]","[0.2678, 0.0099]"
68
- qwen2.5-3b,Qwen,67,0.4133,7,"[0.6638, 0.0047]","[0.272, 0.0183]","[0.6713, 0.012]","[0.7281, 0.0114]","[0.1373, 0.0136]","[0.1381, 0.0085]","[0.2825, 0.01]"
69
- qwen3-8b,Qwen,68,0.410714,7,"[0.745, 0.014]","[0.29, 0.046]","[0.673333, 0.038422]","[0.746667, 0.03563]","[0.11, 0.031]","[0.0, 0.0]","[0.31, 0.046]"
70
- deepseek-v3p2,DeepSeek,69,0.409,7,"[0.713, 0.014312]","[0.08, 0.027266]","[0.78, 0.033936]","[0.78, 0.033936]","[0.08, 0.027266]","[0.0, 0.0]","[0.43, 0.049757]"
71
- phi-3.5-mini,Microsoft,70,0.408014,7,"[0.6216, 0.0048]","[0.2887, 0.0202]","[0.6338, 0.0124]","[0.7559, 0.011]","[0.162, 0.0151]","[0.1181, 0.0106]","[0.276, 0.01]"
72
- internlm2.5-20b,InternLM,71,0.405914,7,"[0.6721, 0.0047]","[0.256, 0.0189]","[0.6231, 0.0125]","[0.7011, 0.0118]","[0.126, 0.0133]","[0.1566, 0.0102]","[0.3065, 0.0103]"
73
- phi-4-mini,Microsoft,72,0.405329,7,"[0.6489, 0.0048]","[0.2593, 0.0194]","[0.6996, 0.0118]","[0.7213, 0.0115]","[0.2233, 0.0165]","[0.0262, 0.004]","[0.2587, 0.0097]"
74
- internlm2.5-7b,InternLM,73,0.403771,7,"[0.669, 0.0047]","[0.3013, 0.0204]","[0.6547, 0.0122]","[0.7381, 0.0113]","[0.088, 0.0107]","[0.1211, 0.0082]","[0.2542, 0.0097]"
75
- deepseek-r1-32b,DeepSeek,74,0.403524,7,"[0.511333, 0.014985]","[0.073333, 0.023962]","[0.746667, 0.03563]","[0.786667, 0.033561]","[0.376667, 0.045358]","[0.173333, 0.0323]","[0.156667, 0.035598]"
76
- gemma3-4b,Google,75,0.397,7,"[0.652333, 0.01506]","[0.273333, 0.04454]","[0.66, 0.038808]","[0.74, 0.035934]","[0.136667, 0.029242]","[0.116667, 0.026958]","[0.2, 0.040202]"
77
- falcon3-3b,TII,76,0.377157,7,"[0.6082, 0.0049]","[0.2127, 0.018]","[0.5504, 0.0128]","[0.6303, 0.0124]","[0.23, 0.0177]","[0.1312, 0.009]","[0.2773, 0.01]"
78
- command-r7b-12-2024,Cohere,77,0.355757,7,"[0.517, 0.01581]","[0.2, 0.040202]","[0.6333, 0.039478]","[0.72, 0.036783]","[0.06, 0.023868]","[0.12, 0.03266]","[0.24, 0.042923]"
79
- gemma2-2b,Google,78,0.353029,7,"[0.6051, 0.0049]","[0.272, 0.0199]","[0.63, 0.0125]","[0.7364, 0.0114]","[0.0167, 0.0057]","[0.0035, 0.002]","[0.2075, 0.0091]"
80
- qwen2.5-1.5b,Qwen,79,0.351986,7,"[0.6102, 0.0049]","[0.274, 0.02]","[0.6193, 0.0125]","[0.5672, 0.0128]","[0.0413, 0.0071]","[0.1119, 0.0086]","[0.24, 0.0095]"
81
- mixtral-8x7b,Mistral,80,0.348957,7,"[0.4878, 0.005]","[0.1987, 0.0171]","[0.5669, 0.0127]","[0.6522, 0.0122]","[0.1, 0.0106]","[0.0999, 0.0073]","[0.3372, 0.0105]"
82
- mistral-nemo-fp8-2407,Mistral,81,0.332,5,"[0.65, 0.015]","[0.33, 0.047]",,,"[0.15, 0.036]","[0.17, 0.038]","[0.36, 0.048]"
83
- mistral-7b,Mistral,82,0.310343,7,"[0.4532, 0.005]","[0.188, 0.0174]","[0.4687, 0.0128]","[0.5923, 0.0126]","[0.0607, 0.0087]","[0.1227, 0.0092]","[0.2868, 0.0101]"
84
- yi1.5-34b,01.AI,83,0.3062,5,"[0.711, 0.014]","[0.24, 0.043]",,,"[0.16, 0.037]","[0.1, 0.03]","[0.32, 0.047]"
85
- yi1.5-34b,01.ai,84,0.3062,5,"[0.711, 0.014]","[0.24, 0.043]",,,"[0.16, 0.037]","[0.1, 0.03]","[0.32, 0.047]"
86
- mistral-nemo-2407,Mistral,85,0.3042,5,"[0.651, 0.015]","[0.29, 0.046]",,,"[0.08, 0.027]","[0.12, 0.033]","[0.38, 0.049]"
87
- qwen3-4b,Qwen,86,0.3014,5,"[0.717, 0.014]","[0.32, 0.047]",,,"[0.17, 0.038]","[0.0, 0.0]","[0.3, 0.046]"
88
- gemma3-1b,Google,87,0.2727,7,"[0.4567, 0.005]","[0.206, 0.0181]","[0.526, 0.0129]","[0.5912, 0.0127]","[0.032, 0.0079]","[0.0, 0.0]","[0.097, 0.0066]"
89
- TSLAM-Mini-2B,NetoAI,88,0.25356,5,"[0.619, 0.004839]","[0.2673, 0.019677]",,,"[0.132, 0.01344]","[0.0285, 0.003655]","[0.221, 0.009229]"
90
- yi1.5-9b,01.ai,89,0.2456,5,"[0.458, 0.016]","[0.26, 0.044]",,,"[0.17, 0.038]","[0.05, 0.022]","[0.29, 0.046]"
91
- yi1.5-9b,01.AI,90,0.2456,5,"[0.458, 0.016]","[0.26, 0.044]",,,"[0.17, 0.038]","[0.05, 0.022]","[0.29, 0.046]"
92
- TSLAM-4B,NetoAI,91,0.24486,5,"[0.5361, 0.004987]","[0.192, 0.017632]",,,"[0.144, 0.015717]","[0.1262, 0.011302]","[0.226, 0.009354]"
93
- qwen2.5-0.5b,Qwen,92,0.243086,7,"[0.4642, 0.0049]","[0.18, 0.0151]","[0.4789, 0.0128]","[0.3668, 0.0123]","[0.026, 0.0056]","[0.0, 0.0]","[0.1857, 0.0086]"
94
- deepseek-r1-14b,DeepSeek,93,0.237867,5,"[0.426, 0.014684]","[0.06, 0.021907]",,,"[0.323333, 0.042232]","[0.21, 0.033048]","[0.17, 0.037153]"
95
- falcon3-1b,TII,94,0.225529,7,"[0.3696, 0.0048]","[0.114, 0.0142]","[0.44, 0.0128]","[0.3848, 0.0126]","[0.0393, 0.0071]","[0.0845, 0.0082]","[0.1465, 0.0079]"
96
- falcon3-7b,TII,95,0.178543,7,"[0.1612, 0.0037]","[0.0633, 0.0108]","[0.1762, 0.0098]","[0.0885, 0.0072]","[0.3167, 0.02]","[0.1582, 0.01]","[0.2857, 0.0101]"
97
- command-r-35b,Cohere,96,0.172133,3,,,,,"[0.0553, 0.0101]","[0.1231, 0.0109]","[0.338, 0.0106]"
98
- deepseek-r1-7b,DeepSeek,97,0.1552,5,"[0.272667, 0.012606]","[0.02, 0.01143]",,,"[0.24, 0.037926]","[0.133333, 0.024158]","[0.11, 0.029985]"
99
- deepseek-r1-llama-8b,DeepSeek,98,0.150933,5,"[0.274667, 0.013041]","[0.02, 0.012373]",,,"[0.14, 0.030403]","[0.206667, 0.03442]","[0.113333, 0.030047]"
 
34
  deepseek-v3-0324,DeepSeek,33,0.592762,7,"[0.816, 0.012259]","[0.28, 0.045126]","[0.793333, 0.033172]","[0.8, 0.032769]","[0.57, 0.049757]","[0.4, 0.049237]","[0.49, 0.050242]"
35
  gpt-oss-120b,OpenAI,34,0.582714,7,"[0.799, 0.012679]","[0.3, 0.046057]","[0.8, 0.032769]","[0.84, 0.030034]","[0.57, 0.049757]","[0.45, 0.05]","[0.32, 0.046883]"
36
  gpt-4.1-mini,OpenAI,35,0.580243,7,"[0.795, 0.012773]","[0.3, 0.046057]","[0.8067, 0.032352]","[0.8, 0.032769]","[0.59, 0.049431]","[0.4, 0.049237]","[0.37, 0.048524]"
37
+ llama-v3p3-70b-instruct,Meta,36,0.546614,7,"[0.773, 0.013253]","[0.29, 0.045605]","[0.76, 0.034988]","[0.8533, 0.028982]","[0.45, 0.05]","[0.18, 0.038612]","[0.52, 0.050212]"
38
+ qwen2.5-72b,Qwen,37,0.539686,7,"[0.7649, 0.0042]","[0.292, 0.0203]","[0.7471, 0.0112]","[0.7947, 0.0104]","[0.4547, 0.021]","[0.2731, 0.013]","[0.4513, 0.0111]"
39
+ command-a,Cohere,38,0.535,7,"[0.775, 0.013212]","[0.29, 0.045605]","[0.82, 0.031474]","[0.78, 0.033936]","[0.41, 0.049431]","[0.28, 0.045126]","[0.39, 0.049021]"
40
+ mistral-small-24b,Mistral,39,0.516271,7,"[0.7374, 0.0044]","[0.2973, 0.0204]","[0.7171, 0.0116]","[0.763, 0.011]","[0.3613, 0.0207]","[0.2311, 0.0127]","[0.5067, 0.0112]"
41
+ gpt-4o-mini,OpenAI,40,0.512519,7,"[0.751, 0.013682]","[0.37, 0.048524]","[0.753333, 0.035315]","[0.8133, 0.031921]","[0.39, 0.049021]","[0.13, 0.0338]","[0.38, 0.048783]"
42
+ qwen2.5-32b,Qwen,41,0.506714,7,"[0.7499, 0.0043]","[0.2853, 0.0201]","[0.7327, 0.0114]","[0.7594, 0.011]","[0.4187, 0.0207]","[0.2488, 0.0128]","[0.3522, 0.0107]"
43
+ phi-4-14b,Microsoft,42,0.504529,7,"[0.7308, 0.0044]","[0.2993, 0.0199]","[0.7369, 0.0114]","[0.8336, 0.0096]","[0.4007, 0.0209]","[0.1979, 0.0115]","[0.3325, 0.0105]"
44
+ gemma3-27b,Google,43,0.504329,7,"[0.7131, 0.0045]","[0.3333, 0.0211]","[0.7158, 0.0116]","[0.8056, 0.0102]","[0.4067, 0.0205]","[0.1601, 0.0108]","[0.3957, 0.0109]"
45
+ gpt-5-mini,OpenAI,44,0.501957,7,"[0.447, 0.01573]","[0.28, 0.045126]","[0.5267, 0.040903]","[0.6, 0.040134]","[0.71, 0.045605]","[0.52, 0.050212]","[0.43, 0.049757]"
46
+ claude-3.5-haiku,Anthropic,45,0.495233,7,"[0.74, 0.013878]","[0.25, 0.043519]","[0.7733, 0.034299]","[0.753333, 0.035315]","[0.36, 0.048242]","[0.15, 0.035887]","[0.44, 0.049889]"
47
+ gpt-4,OpenAI,46,0.485762,7,"[0.767, 0.013375]","[0.18, 0.038612]","[0.733333, 0.036228]","[0.78, 0.033936]","[0.19, 0.039428]","[0.22, 0.041633]","[0.53, 0.050161]"
48
+ qwen2.5-14b,Qwen,47,0.485386,7,"[0.7248, 0.0045]","[0.294, 0.0204]","[0.7256, 0.0115]","[0.7763, 0.0108]","[0.324, 0.0193]","[0.218, 0.0112]","[0.335, 0.0106]"
49
+ gpt-4.1-nano,OpenAI,48,0.482757,7,"[0.726, 0.014111]","[0.28, 0.045126]","[0.7133, 0.037046]","[0.74, 0.035934]","[0.52, 0.050212]","[0.13, 0.0338]","[0.27, 0.04462]"
50
+ qwen3-32b,Qwen,49,0.467714,7,"[0.784, 0.013]","[0.34, 0.048]","[0.746667, 0.03563]","[0.793333, 0.033172]","[0.27, 0.045]","[0.0, 0.0]","[0.34, 0.048]"
51
+ mistral-small-22b,Mistral,50,0.4666,7,"[0.6698, 0.0047]","[0.284, 0.0201]","[0.6936, 0.0119]","[0.7696, 0.0109]","[0.2353, 0.0179]","[0.2442, 0.0132]","[0.3697, 0.0108]"
52
+ gemma3-12b,Google,51,0.463843,7,"[0.6879, 0.0046]","[0.274, 0.0199]","[0.6953, 0.0119]","[0.8007, 0.0103]","[0.274, 0.0175]","[0.1852, 0.011]","[0.3298, 0.0105]"
53
+ falcon3-10b,TII,52,0.458814,7,"[0.6866, 0.0046]","[0.2767, 0.02]","[0.6369, 0.0124]","[0.7679, 0.0109]","[0.3433, 0.0204]","[0.191, 0.0117]","[0.3093, 0.0103]"
54
+ gemma2-27b,Google,53,0.458486,7,"[0.718, 0.0045]","[0.2727, 0.0199]","[0.7071, 0.0118]","[0.8111, 0.0101]","[0.2393, 0.0181]","[0.1142, 0.0108]","[0.347, 0.0106]"
55
+ claude-3-haiku,Anthropic,54,0.458376,7,"[0.722, 0.014175]","[0.27, 0.04462]","[0.753333, 0.035315]","[0.7533, 0.035315]","[0.21, 0.040936]","[0.1, 0.030151]","[0.4, 0.049237]"
56
+ qwen2.5-7b,Qwen,55,0.457943,7,"[0.7024, 0.0046]","[0.3007, 0.0205]","[0.6982, 0.0118]","[0.7772, 0.0107]","[0.2973, 0.019]","[0.1431, 0.0084]","[0.2867, 0.0101]"
57
+ claude-sonnet-4.6,Anthropic,56,0.44781,7,"[0.448, 0.0157]","[0.44, 0.0499]","[0.266667, 0.036228]","[0.2, 0.032769]","[0.7, 0.0461]","[0.46, 0.0501]","[0.62, 0.0488]"
58
+ phi-4,Microsoft,57,0.444095,7,"[0.682, 0.014734]","[0.21, 0.040936]","[0.713333, 0.037046]","[0.833333, 0.030531]","[0.33, 0.047258]","[0.04, 0.019695]","[0.3, 0.046057]"
59
+ gpt-3.5-turbo,OpenAI,58,0.438524,7,"[0.713, 0.014312]","[0.21, 0.040936]","[0.7, 0.037542]","[0.786667, 0.033561]","[0.17, 0.037753]","[0.09, 0.028762]","[0.4, 0.049237]"
60
+ granite3.2-8b,IBM,59,0.433729,7,"[0.6745, 0.0047]","[0.288, 0.0203]","[0.676, 0.0121]","[0.8107, 0.0101]","[0.126, 0.0127]","[0.1489, 0.012]","[0.312, 0.0103]"
61
+ deepseek-r1-0528,DeepSeek,60,0.433714,7,"[0.726, 0.014111]","[0.11, 0.031447]","[0.786667, 0.033561]","[0.793333, 0.033172]","[0.12, 0.03266]","[0.0, 0.0]","[0.5, 0.050252]"
62
+ gemma2-9b,Google,61,0.433614,7,"[0.6938, 0.0046]","[0.2893, 0.0203]","[0.6982, 0.0118]","[0.8038, 0.0102]","[0.1513, 0.0149]","[0.1177, 0.0107]","[0.2812, 0.01]"
63
+ qwen2.5-coder-7b,Qwen,62,0.421043,7,"[0.6692, 0.0047]","[0.294, 0.02]","[0.6702, 0.0121]","[0.6507, 0.0123]","[0.2067, 0.0169]","[0.1782, 0.0112]","[0.2783, 0.01]"
64
+ mistral-nemo-12b,Mistral,63,0.417729,7,"[0.6422, 0.0048]","[0.278, 0.0199]","[0.6611, 0.0122]","[0.7, 0.037542]","[0.1053, 0.0121]","[0.142, 0.0103]","[0.3955, 0.0109]"
65
+ granite3.3-8b,IBM,64,0.414771,7,"[0.6578, 0.0047]","[0.2813, 0.0201]","[0.6618, 0.0122]","[0.7579, 0.011]","[0.1433, 0.0138]","[0.1335, 0.0107]","[0.2678, 0.0099]"
66
+ qwen2.5-3b,Qwen,65,0.4133,7,"[0.6638, 0.0047]","[0.272, 0.0183]","[0.6713, 0.012]","[0.7281, 0.0114]","[0.1373, 0.0136]","[0.1381, 0.0085]","[0.2825, 0.01]"
67
+ qwen3-8b,Qwen,66,0.410714,7,"[0.745, 0.014]","[0.29, 0.046]","[0.673333, 0.038422]","[0.746667, 0.03563]","[0.11, 0.031]","[0.0, 0.0]","[0.31, 0.046]"
68
+ deepseek-v3p2,DeepSeek,67,0.409,7,"[0.713, 0.014312]","[0.08, 0.027266]","[0.78, 0.033936]","[0.78, 0.033936]","[0.08, 0.027266]","[0.0, 0.0]","[0.43, 0.049757]"
69
+ phi-3.5-mini,Microsoft,68,0.408014,7,"[0.6216, 0.0048]","[0.2887, 0.0202]","[0.6338, 0.0124]","[0.7559, 0.011]","[0.162, 0.0151]","[0.1181, 0.0106]","[0.276, 0.01]"
70
+ internlm2.5-20b,InternLM,69,0.405914,7,"[0.6721, 0.0047]","[0.256, 0.0189]","[0.6231, 0.0125]","[0.7011, 0.0118]","[0.126, 0.0133]","[0.1566, 0.0102]","[0.3065, 0.0103]"
71
+ phi-4-mini,Microsoft,70,0.405329,7,"[0.6489, 0.0048]","[0.2593, 0.0194]","[0.6996, 0.0118]","[0.7213, 0.0115]","[0.2233, 0.0165]","[0.0262, 0.004]","[0.2587, 0.0097]"
72
+ internlm2.5-7b,InternLM,71,0.403771,7,"[0.669, 0.0047]","[0.3013, 0.0204]","[0.6547, 0.0122]","[0.7381, 0.0113]","[0.088, 0.0107]","[0.1211, 0.0082]","[0.2542, 0.0097]"
73
+ deepseek-r1-32b,DeepSeek,72,0.403524,7,"[0.511333, 0.014985]","[0.073333, 0.023962]","[0.746667, 0.03563]","[0.786667, 0.033561]","[0.376667, 0.045358]","[0.173333, 0.0323]","[0.156667, 0.035598]"
74
+ gemma3-4b,Google,73,0.397,7,"[0.652333, 0.01506]","[0.273333, 0.04454]","[0.66, 0.038808]","[0.74, 0.035934]","[0.136667, 0.029242]","[0.116667, 0.026958]","[0.2, 0.040202]"
75
+ falcon3-3b,TII,74,0.377157,7,"[0.6082, 0.0049]","[0.2127, 0.018]","[0.5504, 0.0128]","[0.6303, 0.0124]","[0.23, 0.0177]","[0.1312, 0.009]","[0.2773, 0.01]"
76
+ command-r7b-12-2024,Cohere,75,0.355757,7,"[0.517, 0.01581]","[0.2, 0.040202]","[0.6333, 0.039478]","[0.72, 0.036783]","[0.06, 0.023868]","[0.12, 0.03266]","[0.24, 0.042923]"
77
+ gemma2-2b,Google,76,0.353029,7,"[0.6051, 0.0049]","[0.272, 0.0199]","[0.63, 0.0125]","[0.7364, 0.0114]","[0.0167, 0.0057]","[0.0035, 0.002]","[0.2075, 0.0091]"
78
+ qwen2.5-1.5b,Qwen,77,0.351986,7,"[0.6102, 0.0049]","[0.274, 0.02]","[0.6193, 0.0125]","[0.5672, 0.0128]","[0.0413, 0.0071]","[0.1119, 0.0086]","[0.24, 0.0095]"
79
+ mixtral-8x7b,Mistral,78,0.348957,7,"[0.4878, 0.005]","[0.1987, 0.0171]","[0.5669, 0.0127]","[0.6522, 0.0122]","[0.1, 0.0106]","[0.0999, 0.0073]","[0.3372, 0.0105]"
80
+ mistral-7b,Mistral,79,0.310343,7,"[0.4532, 0.005]","[0.188, 0.0174]","[0.4687, 0.0128]","[0.5923, 0.0126]","[0.0607, 0.0087]","[0.1227, 0.0092]","[0.2868, 0.0101]"
81
+ gemma3-1b,Google,80,0.2727,7,"[0.4567, 0.005]","[0.206, 0.0181]","[0.526, 0.0129]","[0.5912, 0.0127]","[0.032, 0.0079]","[0.0, 0.0]","[0.097, 0.0066]"
82
+ qwen2.5-0.5b,Qwen,81,0.243086,7,"[0.4642, 0.0049]","[0.18, 0.0151]","[0.4789, 0.0128]","[0.3668, 0.0123]","[0.026, 0.0056]","[0.0, 0.0]","[0.1857, 0.0086]"
83
+ falcon3-1b,TII,82,0.225529,7,"[0.3696, 0.0048]","[0.114, 0.0142]","[0.44, 0.0128]","[0.3848, 0.0126]","[0.0393, 0.0071]","[0.0845, 0.0082]","[0.1465, 0.0079]"
84
+ falcon3-7b,TII,83,0.178543,7,"[0.1612, 0.0037]","[0.0633, 0.0108]","[0.1762, 0.0098]","[0.0885, 0.0072]","[0.3167, 0.02]","[0.1582, 0.01]","[0.2857, 0.0101]"