olmo2-1b-sft-variant-R0
Research artifacts: OLMo-2-1B training variants produced under controlled data-composition differences; per-seed subfolders; intended for reproducibility and membership/contamination research. Details and provenance will be documented in a future update.
Subfolders
seed20260820seed20260821seed20260822seed20260823seed20260824seed20260825seed20260826seed20260827seed20260828seed20260829
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from transformers import AutoModelForCausalLM, AutoTokenizer
repo = "XUUUUSID/olmo2-1b-sft-variant-R0"
sub = "seed20260820"
tok = AutoTokenizer.from_pretrained(repo, subfolder=sub)
model = AutoModelForCausalLM.from_pretrained(repo, subfolder=sub)
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# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("XUUUUSID/olmo2-1b-sft-variant-R0", device_map="auto")