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by teravor 12 hours ago
if you have the model weights or a provider that will give you the full token distributions you can have the next best thing and do a domain-specific distillation. this way you can take a 9B or 27B LLM and uplift it to the level of the larger model.

it still takes some work and ingenuity, you need to design a workflow that would let you efficiently probe the larger model with your domain-specific prompts, this usually involves a workflow where you obtain the inverse mapping from frontier models (don't need distributions for this step).