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Tinygrad quantization support #213

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Tinygrad quantization support #213

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varshith15
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@varshith15 varshith15 commented Sep 10, 2024 •
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@AlexCheema
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Great work @varshith15 would really like to see this through together with #200 - I want to see how viable it is for interoperability between different inference engines. This would open the door to a lot of really useful workflows like running tinygrad on Qualcomm chips (where it's by far the fastest) and MLX on Apple M chips (assuming it's faster, tinygrad might also be fastest here).

@AlexCheema
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Is this still in draft? @varshith15

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@AlexCheema yeah, the tinygrad quantized_mat_mul i wrote is quite slow, debugging that, will need a couple of days

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@varshith15 @AlexCheema