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I appreciate how it redefines “small” not by parameter count but by practical impact and deployability.

• lblume 1y ago
  I do not — parameter count is objective, practical impact depends on such a multitude of factors that any comparison becomes virtually meaningless.
  • kergonath 1y ago
    The standard for parameters count is rapidly evolving. Something large now will be small tomorrow, there is no point in using such a moving target as a criterion.
    • lblume 1y ago
      Sure, but nonetheless whether the model is called "small" at some time t should depend on the parameter count and t, not some arbitrarily specified metric of deployability.