Update benchmarks/models/sansa/README.md
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TayJen
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benchmarks/models/sansa/README.md
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Training SANSA on Yambda-500M with Listens, on Yambda-5B with Likes and on Yambda-5B with Listens is infeasible due to the memory explosion during sparse matrix multiplication.
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For example, given the base weights density of
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One may observe that the good solution is to try to reduce the weights density. However given the results on Yambda-50M with Listens, further reducing density would collapse the model’s capacity, it becomes obvious that it is just practically futile.
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Training SANSA on Yambda-500M with Listens, on Yambda-5B with Likes and on Yambda-5B with Listens is infeasible due to the memory explosion during sparse matrix multiplication.
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For example, given the base weights density of \\(5e-5\\), the sparse matrix multiplication for Yambda-500M with Listens requires \\(466512103 * (3004578 ^ 2 * 5e-5) = 2.1e17\\) operations.
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One may observe that the good solution is to try to reduce the weights density. However given the results on Yambda-50M with Listens, further reducing density would collapse the model’s capacity, it becomes obvious that it is just practically futile.
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