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cbai-eval-awareness/olmo3-32b-sft
olmo3-32b-sft is a machine learning model from cbai-eval-awareness. 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 apache-2.0.
Replication of the first 100 steps of AI2's OLMo-3 32B Think-SFT recipe (olmo-core, AI2's pre-tokenized Dolci data, faithful data order). HF-format checkpoints at SFT steps 0, 25, 50, 75, 100, one per subfolder (step0…
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Updated Jun 27, 2026
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From the Hugging Face model README
Replication of the first 100 steps of AI2's OLMo-3 32B Think-SFT recipe (olmo-core,
AI2's pre-tokenized Dolci data, faithful data order). HF-format checkpoints at SFT
steps 0, 25, 50, 75, 100, one per subfolder (step0/ … step100/).
Load a given step:
from transformers import AutoModelForCausalLM, AutoTokenizer
m = AutoModelForCausalLM.from_pretrained("cbai-eval-awareness/olmo3-32b-sft", subfolder="step50")
Used to trace verbalized eval-awareness (VEA) across early SFT.