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Validity of comparing fp16 generated ESM2 embeddings with the ESM Atlas embeddings? #684
allcatsaregrey
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ESM Metagenomic Atlas
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Yes that's reasonable, the model was trained in fp16 precision. I think the results won't match exactly but will probably be good enough for most use cases (norm difference < 1e-3) |
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If I am generating my own ESM2 embeddings locally, can I use fp16 precision during generation while still being able to make meaningful similarity comparisons to embeddings downloaded from the atlas? I see discussions suggesting people call .half() on the model to generate embeddings locally, but this does not exactly answer my question. Thank you for your time.
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