support hf_access_token
98dba8d
unverified
zetavg
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Runtime error
Runtime error
Commit History
fix
628e1bf
unverified
zetavg
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make the training process async
79d936d
unverified
zetavg
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fix
211c86c
unverified
zetavg
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make gradio reload faster by using dynamic imports
8b0ae10
unverified
zetavg
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extract configs from global
40a8f4e
unverified
zetavg
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try to load different type of models
9c78439
zetavg
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support --trust_remote_code, resolves #6
03b5741
zetavg
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support switching base models
fd15ecb
zetavg
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extract and fix get_device
570c043
zetavg
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extract inference
4870204
zetavg
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make load from hf explicit
42c2f04
unverified
zetavg
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support defining models that actually lives on hf
329aa8d
zetavg
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fix
61dd8eb
zetavg
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preload base model on colab
a1771a7
unverified
zetavg
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clean
89dd922
unverified
zetavg
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change model loading mechanism
90c428d
zetavg
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cache lora models
966795b
zetavg
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cache loaded_base_model_with_lora
49b832f
unverified
zetavg
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fix
b9929ef
unverified
zetavg
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this should be set for training
7b14813
unverified
zetavg
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some fixes
c15d0e4
unverified
zetavg
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update
9279c83
unverified
zetavg
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fix “RuntimeError: expected scalar type Half but found Float” on lambdalabs and hf
4b2400e
unverified
zetavg
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actual fix
0e92a92
unverified
zetavg
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add possible missing model configs and update ui
4ac0d6a
unverified
zetavg
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update
87a0e23
unverified
zetavg
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add inference_ui and stuff
d754e91
unverified
zetavg
commited on