{ "source": "d92ff1655d366a65a0964dc770fb50a3db623de2f490371e82776a10e2d5d900", "layers": [ { "layer": 0, "batched_vs_individual_mlx": { "max_abs": 0.015625, "relative_rmse": 0.0023539047688245773, "equal_fraction": 0.7525249123573303 }, "mlx_vs_native_torch_cpu": { "max_abs": 0.0078125, "relative_rmse": 0.00012667215196415782, "equal_fraction": 0.9857614636421204 } }, { "layer": 25, "batched_vs_individual_mlx": { "max_abs": 0.03125, "relative_rmse": 0.002438822528347373, "equal_fraction": 0.7723024487495422 }, "mlx_vs_native_torch_cpu": { "max_abs": 0.015625, "relative_rmse": 0.00016331397637259215, "equal_fraction": 0.9913590550422668 } }, { "layer": 49, "batched_vs_individual_mlx": { "max_abs": 0.125, "relative_rmse": 0.0023825326934456825, "equal_fraction": 0.8334711194038391 }, "mlx_vs_native_torch_cpu": { "max_abs": 0.0625, "relative_rmse": 0.00010624019341776147, "equal_fraction": 0.9988287687301636 } } ], "scope": "Actual original weights; original one-row-per-step BF16 projections, FP32 timestep MLP; CPU PyTorch is not a CUDA image reference" }