File size: 5,701 Bytes
35700de | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 | {
"model": "Glint-Router-1M",
"author": "Glint-Research",
"parameters": 985826,
"baseline": "SupraLabs/Supra-Router-51M (51,786,240 params)",
"training": {
"params": 985826,
"train_rows": 87604,
"val_rows": 7617,
"steps": 14479,
"minutes": 15.0,
"domain": 0.9464356045687279,
"route": 0.939608769856899,
"complexity": 0.7923066824209006,
"code": 0.991466456610214,
"math": 0.978075357752396,
"reasoning": 0.8949717736641722,
"long_output": 0.9516870158855192,
"ece_raw": 0.05564934242829622,
"ece_calibrated": 0.02029288645098859,
"hardware": "RTX 3060 Ti",
"rounds": 1,
"wall_clock_minutes": 15.0,
"corpus_rows": 95221
},
"neutral_holdout": {
"val_rows": 3418,
"slice_rows": {
"aqua_rat": 254,
"dolly": 2500,
"humaneval": 164,
"mbpp": 500
},
"glint": {
"route_accuracy": 0.9441193680514921,
"code_accuracy": 0.9751316559391457,
"math_accuracy": 0.9526038619075483,
"complexity_exact": 0.46284376828554713,
"complexity_within_1": 0.9590403744880047,
"ms_per_prompt": 0.05992146021082586,
"parse_failures": 0
},
"glint_aqua_rat": {
"route_accuracy": 0.9094488188976378,
"code_accuracy": 0.9960629921259843,
"math_accuracy": 0.889763779527559,
"complexity_exact": 0.1141732283464567,
"complexity_within_1": 0.8070866141732284,
"ms_per_prompt": 0.05992146021082586,
"parse_failures": 0
},
"glint_dolly": {
"route_accuracy": 0.9424,
"code_accuracy": 0.9956,
"math_accuracy": 0.9612,
"complexity_exact": 0.5688,
"complexity_within_1": 0.9944,
"ms_per_prompt": 0.05992146021082586,
"parse_failures": 0
},
"glint_humaneval": {
"route_accuracy": 0.8719512195121951,
"code_accuracy": 0.5670731707317073,
"math_accuracy": 0.9024390243902439,
"complexity_exact": 0.4451219512195122,
"complexity_within_1": 0.9817073170731707,
"ms_per_prompt": 0.05992146021082586,
"parse_failures": 0
},
"glint_mbpp": {
"route_accuracy": 0.994,
"code_accuracy": 0.996,
"math_accuracy": 0.958,
"complexity_exact": 0.116,
"complexity_within_1": 0.852,
"ms_per_prompt": 0.05992146021082586,
"parse_failures": 0
},
"supra": {
"route_accuracy": 0.903744880046811,
"code_accuracy": 0.9643066120538326,
"math_accuracy": 0.9207138677589234,
"complexity_exact": 0.3905792861322411,
"complexity_within_1": 0.9163253364540667,
"ms_per_prompt": 14.334112498536923,
"parse_failures": 4
},
"supra_aqua_rat": {
"route_accuracy": 0.9133858267716536,
"code_accuracy": 1.0,
"math_accuracy": 0.9094488188976378,
"complexity_exact": 0.0,
"complexity_within_1": 0.09448818897637795,
"ms_per_prompt": 14.334112498536923,
"parse_failures": 4
},
"supra_dolly": {
"route_accuracy": 0.8896,
"code_accuracy": 0.996,
"math_accuracy": 0.9428,
"complexity_exact": 0.482,
"complexity_within_1": 0.9776,
"ms_per_prompt": 14.334112498536923,
"parse_failures": 4
},
"supra_humaneval": {
"route_accuracy": 0.8292682926829268,
"code_accuracy": 0.676829268292683,
"math_accuracy": 0.8414634146341463,
"complexity_exact": 0.16463414634146342,
"complexity_within_1": 1.0,
"ms_per_prompt": 14.334112498536923,
"parse_failures": 4
},
"supra_mbpp": {
"route_accuracy": 0.994,
"code_accuracy": 0.882,
"math_accuracy": 0.842,
"complexity_exact": 0.206,
"complexity_within_1": 1.0,
"ms_per_prompt": 14.334112498536923,
"parse_failures": 4
}
},
"in_corpus_val": {
"val_rows": 7617,
"glint": {
"route_accuracy": 0.939608769856899,
"code_accuracy": 0.991466456610214,
"math_accuracy": 0.978075357752396,
"complexity_exact": 0.7923066824209006,
"complexity_within_1": 0.9883156098201391,
"ms_per_prompt": 0.0748591950898926,
"parse_failures": 0
},
"glint_trap": {
"route_accuracy": 1.0,
"code_accuracy": 1.0,
"math_accuracy": 1.0,
"complexity_exact": 1.0,
"complexity_within_1": 1.0,
"parse_failures": 0
},
"supra": {
"route_accuracy": 0.8575554680320336,
"code_accuracy": 0.9761060785085992,
"math_accuracy": 0.9400026257056584,
"complexity_exact": 0.4629119075751608,
"complexity_within_1": 0.923723250623605,
"ms_per_prompt": 14.768008985689887,
"parse_failures": 1
},
"supra_trap": {
"route_accuracy": 0.908695652173913,
"code_accuracy": 0.9869565217391304,
"math_accuracy": 1.0,
"complexity_exact": 0.33043478260869563,
"complexity_within_1": 0.8391304347826087,
"parse_failures": 1
},
"note": "labels from the glint pipeline. glint is in-distribution here, supra is not. read the holdout numbers for the fair comparison."
},
"supra_own_rows": {
"val_rows": 91,
"glint": {
"route_accuracy": 0.8901098901098901,
"code_accuracy": 0.9010989010989011,
"math_accuracy": 0.8131868131868132,
"complexity_exact": 0.5054945054945055
},
"supra": {
"route_accuracy": 0.967032967032967,
"code_accuracy": 1.0,
"math_accuracy": 0.978021978021978,
"complexity_exact": 0.8571428571428571
},
"note": "supra's own 992-row dataset, held out of glint training. these rows are supra's TRAINING data, so supra is scoring a memorised set. published because leaving it out would be dishonest."
}
} |