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Add training metadata to output LoRA model
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@@ -135,7 +135,7 @@ def svd(args):
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if dir_name and not os.path.exists(dir_name):
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os.makedirs(dir_name, exist_ok=True)
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lora_network_o.save_weights(args.save_to, save_dtype)
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lora_network_o.save_weights(args.save_to, save_dtype, {})
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print(f"LoRA weights are saved to: {args.save_to}")
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