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Update benchmarks/models/sansa/README.md (#6)

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- Update benchmarks/models/sansa/README.md (eb2b2586d41846153dfb8d0fd7f63e9509fb5b21)


Co-authored-by: Taychinov Evgeny <TayJen@users.noreply.huggingface.co>

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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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  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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