Analysis of Quantized and Efficiently Adapted Protein Language Models
Background: Protein language models (PLMs) are increasingly used for sequence generation and property prediction, but their size makes fine-tuning and deployment expensive. The effects of quantization and parameter efficient fine-tuning on performance, representations and generation remain insufficiently characterized....
I. Zeisler, Sebastian Clancy, P. Bayat et al.
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