fp16

fp16 is the 16-bit half-precision floating-point format defined in IEEE 754, widely used in AI training and inference.

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fp16 is the half-precision floating-point format defined in the IEEE 754 standard, consisting of 1 sign bit, 5 exponent bits and 10 significand bits. It uses half the memory per value of 32-bit fp32 and is used for AI training and inference. Compared with bf16, another 16-bit format, fp16 covers a narrower numerical range but offers more significand precision.

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Yutori also trains in fp16, a 16-bit numerical format, to match its inference setup and avoid a train-versus-deployment precision mismatch.


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