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dementor-research/sft_gsm8k_nemotron-nano-30b-a3b_as_phi-4_seed42

sourceHugging Faceupdated 1mo agoView on Hugging Face

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Model Card

sftgsm8knemotron-nano-30b-a3basphi-4_seed42

LoRA adapter trained via Tinker as part of the dementor configuration-defined behavioral-imitation study.

—Base model: nvidia/NVIDIA-Nemotron-3-Nano-30B-A3B-BF16
—Training stage: SFT (LoRA rank 32, target_modules=all-linear)
—Alias: sft_gsm8k_nemotron-nano-30b-a3b_as_phi-4_seed42

Usage

python

from peft import PeftModel
from transformers import AutoModelForCausalLM, AutoTokenizer

base = AutoModelForCausalLM.from_pretrained("nvidia/NVIDIA-Nemotron-3-Nano-30B-A3B-BF16")
tok = AutoTokenizer.from_pretrained("nvidia/NVIDIA-Nemotron-3-Nano-30B-A3B-BF16")
model = PeftModel.from_pretrained(base, "dementor-research/sft_gsm8k_nemotron-nano-30b-a3b_as_phi-4_seed42")

The named campaign contains 12 models, 4 datasets, and 1 seed(s), yielding 528 configured cells for this stage. See config.yaml in the code release for the exact cohort and hyperparameters.