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Open-source OLMo3-3B-SiameseNorm-DepthAttention-stage1 model from archspace-collection — available for download and self-hosting on Hugging Face.
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Local run command
pip install transformers accelerate && python -c "from transformers import AutoModelForCausalLM, AutoTokenizer; tok = AutoTokenzier.from_pretrained('archspace-collection/OLMo3-3B-SiameseNorm-DepthAttention-stage1'); model = AutoModelForCausalLM.from_pretrained('archspace-collection/OLMo3-3B-SiameseNorm-DepthAttention-stage1'); print('Loaded archspace-collection/OLMo3-3B-SiameseNorm-DepthAttention-stage1')"Presumptive Specs:
Community reliability estimate · not official
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Learn how to use OLMo3-3B-SiameseNorm-DepthAttention-stage1
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