model_id string | dataset_id string | num_samples int64 | num_rollouts int64 | total_generations int64 | num_moe_layers int64 | num_experts int64 | trained_top_k int64 | max_new_tokens int64 | padding_ignored_in_final_metrics bool | sampling dict | seed int64 | dtype string | total_generation_time_s float64 | accuracy dict | router_metrics_per_layer dict | metric_explanations dict | generated_at string |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
deepnevro/LFM2.5-8B-A1B-Expert | deepnevro/MATH-500-Level1 | 15 | 1 | 15 | 22 | 32 | 4 | 500 | true | {
"temperature": 0.2,
"top_p": 1,
"top_k": 80,
"repetition_penalty": 1.05
} | 42 | bfloat16 | 305.5 | {
"mean": 0.8667,
"per_level": {
"1": {
"count": 15,
"accuracy": 0.8667,
"mean_output_tokens": 599.27
}
},
"per_subject": {
"Precalculus": {
"count": 2,
"accuracy": 1,
"mean_output_tokens": 562
},
"Intermediate Algebra": {
"count": 2,
"accuracy... | {
"2": {
"num_real_tokens": 1001,
"num_experts": 32,
"model_top_k": 4,
"logit_mean_mean": -2.106798,
"logit_mean_std": 0.245891,
"logit_std_mean": 0.86608,
"logit_std_std": 0.121633,
"activated_k_mean": 4,
"activated_k_std": 0,
"num_recorded_tokens": 9975,
"num_padding_toke... | {
"logit_mean_mean": "Mean of per-token mean across all 32 raw router logits.",
"logit_mean_std": "Std of per-token mean logit across real tokens.",
"logit_std_mean": "Mean of per-token std across all 32 raw router logits.",
"logit_std_std": "Std of per-token logit std across real tokens.",
"activated_k_mean"... | 2026-07-30T07:16:38.445554Z |
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