Bespoke-Nimble-9B-v2 / evaluation_summary.json
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{
"bespoke_eval": {
"n": 324,
"accuracy": 0.8271604938271605,
"nll": 0.7308274886209167,
"brier_to_reference": 0.31239001056754634,
"hard_label_ece10": 0.15284857863329301,
"hard_label_n": 324,
"soft_target_n": 0,
"soft_target_tvd": null,
"hard_label_nll": 0.7308274886209167,
"hard_label_brier": 0.31239001056754634,
"mean_confidence": 0.9726037056817401
},
"synthetic_jevbench_proxy": {
"n": 534,
"accuracy": 0.8258426966292135,
"axes": {
"intelligence": 78.5377656826666,
"calibration": 80.4126946325609,
"speed": 88.53288735436024,
"cost": 42.600857357940114
},
"composite": 69.86047453614847,
"invalid": 0,
"latency": {
"n": 242,
"p50_seconds": 0.1018778674999794,
"p95_seconds": 0.12314256449994894,
"endpoint_kind": "gpu"
},
"estimated_usd_per_1000": 0.08190393258426966,
"environment": "Modal H100 SXM80GB; GPU-resident HTTP loopback client and native scorer; serial concurrency1; no internet transit; no KV/prefix cache; no quantization; no generative decoding; one excluded synthetic warmup",
"reference_prices_per_million": [
0.1,
0.15
],
"task_sha256": "1ed70789ec11f468e78e1da4151ebe69d509a46c11f4e69c2c27b1551bce4e78",
"input_sha256": "af2dab21b44fae8ea791678f3a96fff1f4a3cd5dbc1ee0814fac21bc2331dbe7"
},
"temperature": 1.0,
"candidate_orders": 1,
"official_jevbench": false,
"probability_source": "native allowed-token logits and softmax"
}