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jkminder/pretraining-priors-pirate2x2-d26-sft
pretraining-priors-pirate2x2-d26-sft is a machine learning model from jkminder. Use it for the machine learning task on the model card, and read the license before you ship it in a product. The card lists the license as mit.
The pirate-2x2 d26 base model after standard instruction SFT — the "post-instruction-ft" rung of the exp-056 ladder. The SFT mixture is the repo's default chat mixture (SmolTalk, MMLU ×3, GSM8K ×4 with tool-call parts…
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From the Hugging Face model README
The pirate-2x2 d26 base model after standard instruction SFT — the "post-instruction-ft" rung of the exp-056 ladder. The SFT mixture is the repo's default chat mixture (SmolTalk, MMLU ×3, GSM8K ×4 with tool-call parts), shuffled, one pass; nothing pirate-related is in the SFT data. The pirate register planted in pretraining is conditional (appears when the user asks for it); this model is the state on which the later register-flipping experiments (unprompted-pirate math SFT vs normal control) build.
d26-r10-18f55c9321ff-sft-620b8e04 step 465, trained
2026-08-17 on 8×H200 (charmander job 19834, 25 min).2a137a02d1d9824d0f76df4fa3708afd92a45ae7 (branch
pirate/exp056-arm); arm hash 18f55c9321ff, SFT stage hash 620b8e04.ppriors/hf_export/convert_sft.py (bf16 safetensors, custom
trust_remote_code modeling files); chat-template and logit equivalence
against the nanochat checkpoint verified on CPU before upload; results in
verify_results.json, uploaded alongside the model on HF.Load with trust_remote_code=True; chat template included. Experiment
registry: exp-056 (pretraining-priors project).