show training speed
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finetune loss chart: use steps as the x axis if possible
6947876
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update
85fb243
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make the training process async
79d936d
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fix types
9cd5ad7
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move sample data
02c87a8
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better way to manage JS and CSS
fdddf65
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zetavg
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extract configs from global
40a8f4e
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improve speed of switching models by offloading unused ones to cpu ram instead if unloading
6148b7c
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fix inference output
00263ef
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ui for continue fine-tuning from existing model
5fcf47b
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format code
4a6324a
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support .py prompt template
0537112
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extract inference
4870204
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fix
6177a27
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add unhelpful-ai
9bf05f8
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change model loading mechanism
90c428d
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move to latest working version of peft
fe7c9d2
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auto select prompt template for model
517781a
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zetavg
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update
116804a
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zetavg
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update
35fba55
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zetavg
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work on finetune ui
49ce4b9
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build ui to load and preview train dataset
c620e0b
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add inference_ui and stuff
d754e91
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add sample templates data
62b53be
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add llama_lora/utils/callbacks.py
91cd700
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add prompter from alpaca-lora
da8868f
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zetavg
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