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Make custom LoRAs work by default #385
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@ -17,6 +17,6 @@ def add_lora_to_model(lora_name):
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print(f"Adding the LoRA {lora_name} to the model...")
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print(f"Adding the LoRA {lora_name} to the model...")
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params = {}
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params = {}
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#params['device_map'] = {'': 0}
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params['device_map'] = {'': 0}
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#params['dtype'] = shared.model.dtype
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#params['dtype'] = shared.model.dtype
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shared.model = PeftModel.from_pretrained(shared.model, Path(f"loras/{lora_name}"), **params)
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shared.model = PeftModel.from_pretrained(shared.model, Path(f"loras/{lora_name}"), **params)
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@ -56,7 +56,7 @@ settings = {
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},
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},
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'lora_prompts': {
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'lora_prompts': {
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'default': 'Common sense questions and answers\n\nQuestion: \nFactual answer:',
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'default': 'Common sense questions and answers\n\nQuestion: \nFactual answer:',
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'alpaca-lora-7b': "Below is an instruction that describes a task. Write a response that appropriately completes the request.\n### Instruction:\nWrite a poem about the transformers Python library. \nMention the word \"large language models\" in that poem.\n### Response:\n"
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'(alpaca-lora-7b|alpaca-lora-13b|alpaca-lora-30b)': "Below is an instruction that describes a task. Write a response that appropriately completes the request.\n### Instruction:\nWrite a poem about the transformers Python library. \nMention the word \"large language models\" in that poem.\n### Response:\n"
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}
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}
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}
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}
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