control-pretrain-30b-baseline-midtrain
Stage-2 (midtraining/anneal) final checkpoint of the control-pretraining 30B baseline campaign — the unfiltered control arm of Geodesic's pretraining-data-filtering study. Continues the stage-1 base (501.3B tokens from scratch) with 52.4B tokens of a 10-corpus annealing blend at seq 32768 (weights-only warm start, fresh optimizer, cosine 7.5e-4 → 1e-5, adam_beta2 0.95). Loss 1.97 → 1.32 across the anneal; zero NaN. Completed 2026-08-27.
This is the annealed base — the natural checkpoint for completion-style use, CPT, or custom post-training, and the direct parent of the sft release. No instruction tuning: use plain completion prompting.
Tokenizer note: bundled tokenizer_config declares eos <|im_end|> (id 11), but
training used </s> (id 2) as the document separator — for CPT append EOD id 2 (e.g.
geodesic-research/nemotron-base-tokenizer). No zero-embedding trap: all vocab rows
trained from random init in stage 1.
Provenance: converted from Megatron iter_0003126 (megatron-bridge, TP1/EP4). Megatron
- Training run (loss/throughput curves): https://wandb.ai/geodesic/megatron_training/runs/qeslzwcc
checkpoints (both stage-2 saves):
geodesic-research/control-pretrain-30b-baseline-ckpts.
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Model tree for geodesic-research/control-pretrain-30b-baseline-midtrain
Base model
nvidia/NVIDIA-Nemotron-3-Nano-30B-A3B-BF16