Commit History

feat: remove unecessary LN
02824a7

boris commited on

feat: update mini config
d9a16f2

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feat: add cogview
472c4cc

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fix(textnormalizer): consider utf8 on windows (#148)
3b8d8cb
unverified

illtellyoulater commited on

feat: implement transformer variants (#144)
542378c
unverified

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feat(train): log norm and histograms (#143)
b7b619a
unverified

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feat(data): super conditioning (#141)
7939874
unverified

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feat: support pod (#139)
803ccbf
unverified

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fix: no gradient checkpointing for new model
2e02683

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feat: no gradient checkpointing for params init
b798ed3

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feat: update configs
79557f9

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feat(dev): require datasets
3d64598

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fix(train): consider schedule offset
bc4734f

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feat(train): local jax cache
9f5e879

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feat: add bucket reference to artifact
d368fb6

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style: lint
d5d442a

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feat: handle gradient checkpointing
5173ec7

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feat: load from bucket
1c4e839

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feat(train): save to bucket
50498e6

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feat: reduce artifact space + offset step
34cf91c

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feat(demo): update reference
e558000

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feat: restore weights on CPU
5f954fc

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feat(train): simplify tokenizer loading
4cb21dd

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doc: update README
db5a22a

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feat: cleanup notebook
5a390e8

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feat: wandb required for checkpoints
38c2c4e

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feat(demo): uncomment pip install
094e178

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feat: improve inference demo
35fe578

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fix: position embedding for generate method
ebac379

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feat(train): use compilation cache
da9367c

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fix: typo
68cc185

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fix: load from checkpoint
44b7c3e

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fix: style
d483294

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Merge branch 'main' of https://github.com/borisdayma/dalle-mini into main
0a691de

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feat: log num_parameters early
7cfe576

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fix: distributed shampoo class
696422e

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feat: update distributed_shampoo
5996680

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feat(modeling): simplify abstract_init
fa72aa7

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feat(train) - handle multiple nodes (#130)
0952927
unverified

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feat: handle model parallel
1bb3269

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feat(train): more custom x-axis
5f28cd2

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feat(train): split artifact into model/state (#128)
7c4c287
unverified

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fix: style
386f839

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fix(train): opt_state_shape for distributed_shampoo
225b6ff

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feat(train): split artifact into model/state
fa5b058

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style(tokenizer): remove unused variables
605df32

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feat: use fast tokenizer
767d78a

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feat(train): another 25% faster
14abe8c

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Merge pull request #127 from borisdayma/pjit-t5x
e4401dd
unverified

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feat(train): overhead from 70% to 1% 🥳
2b7f5f1

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