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Abdur Rahim

@_ARahim_ • 1,341 subscribers

mlx-tune (1.4k+ ⭐): https://t.co/ImNGF9FUpX mlx-dspark (650+ ⭐): https://t.co/gMdGltbhIf kaggle-tpu-lab (500+⭐️): https://t.co/ItckUllZ1F

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GLM-5.3-Flash (320B MoE) serving on Kaggle's free TPU: ~64 tok/s, 262k context. No stack could run this model on a TPU, so I wrote a JAX engine for it: 3-bit experts (from Unsloth AI) in HBM; Pallas kernels decode them inside the matmul. Z.ai Kaggle
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GLM-5.3-Flash (320B MoE) serving on Kaggle's free TPU: ~64 tok/s, 262k context. No stack could run this model on a TPU, so I wrote a JAX engine for it: 3-bit experts (from Unsloth AI) in HBM; Pallas kernels decode them inside the matmul. Z.ai Kaggle

Abdur Rahim

107,726 просмотров • 11 дней назад

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