# Create the data for the batched 1-D FFT.
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I tried a new 8B local LLM, and its design might be the biggest shift since DeepSeek R1
Zaya1-8B is a huge shift in LLMs, and the results are impressive.
# Create the data for the batched 2-D C2C FFT. # Note, the batch extent comes last, making the samples interleaved. N1, N2, B = 128, 128, 64 a = cp.random.rand(N1, N2 ...
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