Model Belarus //free\\ - Pythia

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: The models range in size from 70 million to 12 billion parameters .

Belarus is a rare case where language, memory, and censorship collide — and Pythia offers a microscope to see when an LLM learns to pick a side.

Compare a Pythia model trained on clean Belarusian corpora (2000–2014) vs one with post-2020 protest data. You might literally find the training step where “protest” overtakes “stability” in vector space.

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Model Belarus //free\\ - Pythia

: The models range in size from 70 million to 12 billion parameters .

Belarus is a rare case where language, memory, and censorship collide — and Pythia offers a microscope to see when an LLM learns to pick a side.

Compare a Pythia model trained on clean Belarusian corpora (2000–2014) vs one with post-2020 protest data. You might literally find the training step where “protest” overtakes “stability” in vector space.

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