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
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jhu-clsp/mmBERT-small
Fill-Mask • Updated • 14.4k • • 70
jhu-clsp/mmBERT-base
Fill-Mask • Updated • 317k • • 204
jhu-clsp/mmBERT-checkpoints
Updated • 4
jhu-clsp/ettin-decoder-1b
Fill-Mask • Updated • 337 • 5
jhu-clsp/ettin-decoder-32m
Text Generation • Updated • 2.61k
jhu-clsp/ettin-encoder-1b
Feature Extraction • Updated • 1.14k • 22
jhu-clsp/ettin-encoder-68m
Fill-Mask • Updated • 1.38k • • 5
jhu-clsp/ettin-dec-from-enc-32m
Text Generation • Updated • 21
jhu-clsp/ettin-encoder-150m
Fill-Mask • Updated • 22.7k • • 10
jhu-clsp/ettin-decoder-400m
Text Generation • Updated • 3.07k • 4
datasets 39
jhu-clsp/ManyIH-Bench
Preview • Updated • 143 • 3
jhu-clsp/robust04-instructions
Viewer • Updated • 136k • 416 • 2
jhu-clsp/core17-instructions
Viewer • Updated • 49.4k • 332 • 2
jhu-clsp/news21-instructions
Viewer • Updated • 71.5k • 340 • 1
jhu-clsp/megawika-2
Updated • 163 • 4
jhu-clsp/mmBERT-decay-data
Updated • 14.6k • 6
jhu-clsp/mmBERT-midtraining-data
Updated • 6.98k • 1
jhu-clsp/ettin-pretraining-data
Updated • 3k • 9
jhu-clsp/ettin-decay-data
Updated • 166 • 1
jhu-clsp/astro-llms-benchmark-dataset
Viewer • Updated • 40 • 47 • 1