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@@ -192,9 +192,13 @@ the weight GEMMs to the card (25.8 ms against 92.0).
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  Still held: **the cooperative-matrix kernel runs this model out of f16 range.**
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  At 256×160 the render is correct; at 512×288 the audio stream goes NaN on the
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  second sampling step and the video follows. Bisected — `CMF_BAKE_GPU=0` does
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- not help, `CMF_COOP=0` does — so `cortiq animate` pins `CMF_COOP=0`. Tensor
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- cores are worth having here; the kernel needs to carry a scale before it can
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- carry these activations. That is the next real speedup in this model.
 
 
 
 
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  ## What the conversion did
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  Still held: **the cooperative-matrix kernel runs this model out of f16 range.**
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  At 256×160 the render is correct; at 512×288 the audio stream goes NaN on the
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  second sampling step and the video follows. Bisected — `CMF_BAKE_GPU=0` does
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+ not help, `CMF_COOP=0` does — so `cortiq animate` pins `CMF_COOP=0`.
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+
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+ That hold is specific to this model, not a verdict on the kernel: the image
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+ model on the same card and the same kernel renders 20.5 s without it against
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+ 14.8 with, and the two agree to 42.6 dB — the price of f16 operands, which
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+ the kernel documents, not a fault. MiniMax-H3's activations are simply larger.
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+ Giving that kernel a scale is the next real speedup here.
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  ## What the conversion did
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