Model checkpoints and training data modifications for the paper "Train Once, Answer All: Many Pretraining Experiments for the Cost of One"
Sebastian Bordt PRO
sbordt
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updated
a model
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sbordt/OLMo-2-1B-7x-Mid25B
published
a model
1 day ago
sbordt/OLMo-2-1B-7x-Mid25B
updated
a model
8 days ago
sbordt/OLMo-2-1B-WD1
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models
11
sbordt/OLMo-2-1B-7x-Mid25B
Text Generation
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1B
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2
sbordt/OLMo-2-1B-WD1
Text Generation
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1B
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sbordt/OLMo-2-1B-Exp-Mid50B-No-Experiments
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1B
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16
sbordt/OLMo-2-1B-Exp-Mid25B-No-Experiments
Text Generation
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1B
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35
sbordt/OLMo-2-1B-Exp-Mid25B-No-Experiments-SFT
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20
sbordt/OLMo-2-2.7B-Exp
Text Generation
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3B
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95
sbordt/OLMo-2-1B-Exp-Unlearning-Baseline
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203
sbordt/OLMo-2-179M-Exp
Text Generation
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0.2B
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1
sbordt/OLMo-2-546M-Exp
Text Generation
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sbordt/OLMo-2-1B-Exp
1B
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6
datasets
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sbordt/OLMo-2-1B-Exp-Dataset
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5.51M
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sbordt/forgetting-contamination-winogrande
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7.99k
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sbordt/forgetting-contamination-social_i_qa
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3.64k
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sbordt/forgetting-contamination-piqa
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8.71k
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sbordt/forgetting-contamination-mmlu
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9.59k
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sbordt/forgetting-contamination-boolq
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sbordt/forgetting-contamination-hellaswag
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8.61k
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sbordt/forgetting-contamination-arc-easy
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