APT4 transplant
Replacement of a Bielik v3 model's Mistral-derived tokenizer with APT4, followed by vocabulary adaptation and post-training.
Key apt4_transplant · version d5bb75c0-40ed-4d4c-afa4-0fded6fbcb94
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To mitigate catastrophic forgetting during vocabulary adaptation, we combined FOCUS-based embedding initialization with a two-stage continued pretraining pipeline (4B tokens with partial freezing, followed by 16B tokens of full adaptation) and applied the same post-training alignment (SFT, DPO-P, GRPO) as the original Bielik v3 models.
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Replacement of a Bielik v3 model's Mistral-derived tokenizer with APT4, followed by vocabulary adaptation and post-training.
Key apt4_transplant · version d5bb75c0-40ed-4d4c-afa4-0fded6fbcb94
The term denotes what its concept definition states; category names its kind and further roles give identifying properties.
Key defined_as · version f3b88c39-b184-4cb7-85e6-916f260ad0ad
Adaptation of a pretrained model to a replaced tokenizer's vocabulary.
Key vocabulary_adaptation · version 95d5752d-3660-4d7c-97d5-f23b933cf433
Tokenizer of the original Bielik v3 models, derived from Mistral's.
Key mistral_tokenizer · version bd3d8329-e626-4805-9fff-f83f146769a7
Polish-optimised tokenizer of the Bielik v3 PL models.
Key apt4 · version d497f94d-5373-4652-887c-55c001b6472c
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