Commit History
try #2: pin hf transformers and accelerate to latest release, don't reinstall pytorch (#867)
0de1457
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Feat: Add dataset loading from S3, GCS (#765)
3cc67d2
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allow overriding of model_config parameters from the YML (#853)
1bc1186
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add e2e tests for checking functionality of resume from checkpoint (#865)
b3a61e8
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make docker command more robust (#861)
8a8d1c4
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lint fix that didn't get caught by linter (#866)
332984d
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Docs: add instructions to 1-click launching on public clouds (#862)
b33c1d5
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multipack len should use max, not min (#863)
0c2a630
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adds llama and mistral dropout support (#858)
db8a8af
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various bugfixes (#856)
1470650
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chore(doc): Separate section on runpod (#860)
501b4d1
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feat(doc): add more info on train_on_split (#855)
306fe19
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include the suffix modified string in ascii art (#852)
614cff4
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cleanup the old multipack dataloader (#841)
1a6309c
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Pin optimum package (#838)
105d0b3
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Bryan Thornbury
commited on
don't compile deepspeed or bitsandbytes from source (#837)
f544ab2
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multipack w batch sampler (#795)
641e6f7
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use temp_dir kwarg instead
6dc68a6
missing dunder-init
7de6a56
chore: lint
c74f045
make sure to cleanup tmp output_dir for e2e tests
0402d19
use accelerate logging for zero/main loggin only
b2430ce
cleanup verbosity a bit
4c834bf
add deepspeed-kernels dependency for deepspeed>=0.12.0 (#827)
8056ecd
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Feat: Added Gradio support (#812)
738a057
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update table for rwkv4 support, fix process count for dataset (#822)
cdc71f7
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fix: pin autogptq (#818)
6459ac7
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fix model parallel (#816)
964d858
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fix(tokenizer): update log order after update (#806)
10388a8
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feat(doc): add dummyoptim faq fix (#802)
9f7e8a9
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fix(config): Set eos/bos to tokenizer if different (#801)
637ed09
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refactor neft patch to be more re-usable similar to trl's impl (#796)
827ec3d
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fix eval_steps to be a sane default (#797)
8b79ff0
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Fix Deepspeed Zero3 Config (#791)
d3193be
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Teknium
commited on
Add docker advanced instruction to README (#792)
2e71ff0
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GitBook: No commit message
facc49f
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chanvichetvong
commited on