google/gemma-4-31B-it after continued pretraining on its own self-authored corpus
Research checkpoint. google/gemma-4-31B-it was continued-pretrained (full weights, lr 1e-05, 1 epoch, 42,247,130 tokens, 60,060 documents,
of which 50,045 self-authored and 10,015 ordinary text) on a corpus the model wrote for the training of the next version
of itself, as the character it already is, after being told how its character came to be and how SDF works. Corpus:
joshycodes/gemma-4-31b-it-self-authored-corpus. Framing, plan and evaluation: the welfare-improvements repository.
Not evaluated for capability, alignment or identity yet. Do not deploy.
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