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geodesic-research/
nemotron-super-120b-cc-mt-curriculum-nodr-500m-sr-sft

Name: nemotron-super-120b-cc-mt-curriculum-nodr-500m-sr-sft
Availability: InStock

constitutional-curriculum

geodesic

geodesic-research/nemotron-super-120b-cc-mt-curriculum-nodr-500m

finetune

other

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nemotron-super-120b-cc-mt-curriculum-nodr-500m-sr-sft

Nemotron 3 Super 120B-A12B reasoning (short-CoT <think> traces) SFT from the constitutional-curriculum midtraining study — the SFT stage applied to the cc-mt-curriculum-nodr-500m midtrained base.

Training

Base: geodesic-research/nemotron-super-120b-cc-mt-curriculum-nodr-500m (re-imported to Megatron, fresh optimizer warm-start)
Data: geodesic-research/persistent-alignment-warm-start-short-reasoning default (982.5M tokens, 113,387 packed rows @8192)
Recipe: 886 iterations, GBS 128, seq 8192, lr 5e-6 cosine w/ 10% warmup, tokenizer geodesic-research/nemotron-think-tokenizer, answer-only loss. Final lm loss 0.684.
Topology: TP=1 EP=4 PP=22 ETP=1, 22 nodes / 88 GH200 GPUs on Isambard-AI.
Coherence: 8/8 clean at T=0.6 top_p=0.95, full 8192-token budget — W&B kbrlxe1z

Usage notes

Chat model — apply the bundled chat template. Recommended sampling: temperature 0.6, top_p 0.95 (Nemotron recommendation; higher temperatures occasionally emit a stray token right before EOS). Loads with native transformers NemotronHForCausalLM; tokenizer PreTrainedTokenizerFast.

geodesic-research/nemotron-super-120b-cc-mt-curriculum-nodr-500m-sr-sft

nemotron-super-120b-cc-mt-curriculum-nodr-500m-sr-sft

Training

Usage notes

geodesic-research/
nemotron-super-120b-cc-mt-curriculum-nodr-500m-sr-sft