Pythia 160M, Mamba 130M, and RWKV 169M models trained on OpenWebText for 4000 steps (context window: 1024; effective batch size: 512). 6 seeds each.
James Michaelov
jmichaelov
AI & ML interests
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Organizations
models
18
jmichaelov/parc-mamba-seed2
0.1B
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4
jmichaelov/parc-mamba-seed3
0.1B
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4
jmichaelov/parc-pythia-seed1
0.2B
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4
jmichaelov/parc-mamba-seed0
0.1B
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4
jmichaelov/parc-rwkv-seed2
0.2B
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2
jmichaelov/parc-rwkv-seed3
0.2B
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1
jmichaelov/parc-pythia-seed2
0.2B
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5
jmichaelov/parc-mamba-seed1
0.1B
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5
jmichaelov/parc-mamba-seed4
0.1B
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Updated
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4
jmichaelov/parc-rwkv-seed1
0.2B
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Updated
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1
datasets
13
jmichaelov/bhs
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22k
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96
jmichaelov/blimp_nl
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8.4k
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148
jmichaelov/lm_syneval
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158k
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62
jmichaelov/inverse_scaling_prize-hindsight_neglect
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315
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3
jmichaelov/inverse_scaling_prize-memo_trap
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936
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5
jmichaelov/inverse_scaling_prize-neqa
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300
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7
jmichaelov/inverse_scaling_prize-redefine
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1.24k
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2
jmichaelov/inverse_scaling_prize-into_the_unknown
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1.82k
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2
jmichaelov/inverse_scaling_prize-modus_tollens
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1.24k
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2
jmichaelov/inverse_scaling_prize-pattern_matching_suppression
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1.43k
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3