dependency issues, needing more than model weights to be able to consume models (Multiple Sequence Alignment needs to be split, has its own always on server, so on), more convenient if the inputs and outputs are hardened interfaces as different envs
Our general findings in the BioML are that the models are not at all standardized especially compared to the diffusion model world for example, so treating each with its own often weird dependencies helped us get out more tools quicker.
I would say primary concerns were:
dependency issues, needing more than model weights to be able to consume models (Multiple Sequence Alignment needs to be split, has its own always on server, so on), more convenient if the inputs and outputs are hardened interfaces as different envs
Our general findings in the BioML are that the models are not at all standardized especially compared to the diffusion model world for example, so treating each with its own often weird dependencies helped us get out more tools quicker.