support hf_access_token
98dba8d
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Commit History
update README.md
f3676ed
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zetavg
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support setting auth and load config from a custom file path
d8a2e9e
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update instructions for SkyPilot
0e73bed
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zetavg
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style update
45df9da
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zetavg
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fix
628e1bf
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zetavg
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update README.md
e57b271
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fix wandb enable rule
438ee0e
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show training speed
28664d2
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finetune loss chart: use steps as the x axis if possible
6947876
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update
b606ad0
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show loss/epoch chart on finetune ui
3daa16f
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zetavg
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fix some js errors
1e27707
unverified
zetavg
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update
cff173a
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update
69fa725
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fix
06d2e3a
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update
300b660
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update
85fb243
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zetavg
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update
f090da6
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zetavg
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make the training process async
79d936d
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fix types
9cd5ad7
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split finetune ui
a5e11b9
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update finetune_ui
890373d
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move sample data
02c87a8
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pyrightconfig.json
d189042
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finetune_ui: set default for load_in_8bit
b6c4b29
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upgrade gradio
bfd75de
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fix
211c86c
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fix colab nb
6352654
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zetavg
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fix while imported with a different package name
98f12d5
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zetavg
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make gradio reload faster by using dynamic imports
8b0ae10
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better error message
d019027
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zetavg
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support gradio reload mode
f361376
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better way to manage JS and CSS
fdddf65
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Merge branch 'main' into dev-2
9c6781a
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fix
1db4016
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add server_name to config.yaml.sample
c4cb84e
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read server_name from config.yaml
9b019ea
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zetavg
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support .yaml config
9bd8d8b
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extract configs from global
40a8f4e
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finetune: load template and dataset from model
d2eef14
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write tuner version to model info
8177d08
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fix
2aa964c
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Merge branch 'main' into dev-2
34968a1
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finetune: support adding additional_training_arguments and additional_lora_config
e652ee3
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fix
6ac1eb1
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finetune: log trainable% to wandb
05ad97e
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fix
8e2e7b5
unverified
zetavg
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fix
5df9059
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zetavg
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finetune: support continue from models on HF hub
92a8f77
unverified
zetavg
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