{
  "adapter": "jet-v5-panel02-r2-20260924",
  "adapter_sha256": "6416adc20cc1517dc5d9cf3c0a2655da8a899296c5640dfc6d5551170824d0cb",
  "fusion": "Native MLX CUDA module.fuse(), 196 linear layers",
  "fusion_validation": {
    "cases": 36,
    "answer_flips": [],
    "max_probability_difference": 0.02581135243415833,
    "reference": "unfused MLX CUDA vs native MLX CUDA fused bf16"
  },
  "onnx_validation": "36 golden cases: worst |dlogit| 0.254, worst |dprob| 0.0249, answers flipped 0  (178 tokens/s on 4 threads)"
}