mmBERT is trained on 3T tokens from over 1800 languages, showing SoTA scores on benchmarks and exceptional low-resource performance
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Papers
Genomic Next-Token Predictors are In-Context Learners
Controlled Generation for Private Synthetic Text
models 53
jhu-clsp/mmBERT-small
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• 22.3k • • 65
jhu-clsp/mmBERT-base
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• 289k • • 195
jhu-clsp/mmBERT-checkpoints
Updated
• 4
jhu-clsp/ettin-decoder-1b
Fill-Mask • Updated
• 132 • 5
jhu-clsp/ettin-decoder-32m
Text Generation • Updated
• 236
jhu-clsp/ettin-encoder-1b
Feature Extraction • Updated
• 747 • 21
jhu-clsp/ettin-encoder-68m
Fill-Mask • Updated
• 9.77k • • 4
jhu-clsp/ettin-dec-from-enc-32m
Text Generation • Updated
• 5
jhu-clsp/ettin-encoder-150m
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• 20.6k • • 9
jhu-clsp/ettin-decoder-400m
Text Generation • Updated
• 157 • 4
datasets 38
jhu-clsp/robust04-instructions
Viewer
• Updated
• 136k • 205 • 1
jhu-clsp/core17-instructions
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• Updated
• 49.4k • 269 • 1
jhu-clsp/news21-instructions
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• Updated
• 71.5k • 208
jhu-clsp/megawika-2
Updated
• 104 • 3
jhu-clsp/mmBERT-decay-data
Updated
• 9.81k • 6
jhu-clsp/mmBERT-midtraining-data
Updated
• 16.4k • 1
jhu-clsp/ettin-pretraining-data
Updated
• 3.73k • 8
jhu-clsp/ettin-decay-data
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• 1.27k • 1
jhu-clsp/astro-llms-benchmark-dataset
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• Updated
• 40 • 115
jhu-clsp/astro-llms-full-query-data
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• Updated
• 368 • 85