hazyresearch/based-360m
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based
These language model checkpoints are trained at the 360M and 1.3Bn parameter scales for up to 50Bn tokens on the Pile corpus, for research purposes.
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hazyresearch/attn-360m
Updated • 134 • 1 -
hazyresearch/mamba-360m
Updated • 11 -
hazyresearch/based-1b
Updated • 11 • 8 -
hazyresearch/mamba-1b
Updated • 7 • 1 -
Simple linear attention language models balance the recall-throughput tradeoff
Paper • 2402.18668 • Published • 18 -
hazyresearch/attn-1b
Updated • 21 -
hazyresearch/based-fda
Viewer • Updated • 1.1k • 236 • 2 -
hazyresearch/based-squad
Viewer • Updated • 2.98k • 314 -
hazyresearch/based-swde
Viewer • Updated • 1.11k • 264 • 3 -
hazyresearch/based-1b-50b
Updated • 47 • 1 -
hazyresearch/mamba-1b-50b
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hazyresearch/attn-1b-50bn
Updated • 4 -
hazyresearch/my-awesome-model
Updated • 82 • 1