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change hf repo to zenml
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llm-finetuning/configs/finetune_aws.yaml

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@@ -58,4 +58,4 @@ steps:
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use_4bit_qunatization: true
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use_nested_quant: true
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bnb_4bit_compute_dtype: "bfloat16"
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output_peft_repo_id: "htahir1/peft-lora-zencoder15B-personal-copilot"
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output_peft_repo_id: "zenml/peft-lora-zencoder15B-personal-copilot"

llm-finetuning/configs/finetune_gcp.yaml

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use_4bit_qunatization: true
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use_nested_quant: true
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bnb_4bit_compute_dtype: "bfloat16"
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output_peft_repo_id: "htahir1/peft-lora-zencoder15B-personal-copilot"
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output_peft_repo_id: "zenml/peft-lora-zencoder15B-personal-copilot"

llm-finetuning/steps/trainer.py

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@@ -186,7 +186,7 @@ class Configuration(BaseModel):
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use_8bit_qunatization: bool = False
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push_to_hub: bool = False
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output_peft_repo_id: str = "htahir1/peft-lora-zencoder15B-personal-copilot"
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output_peft_repo_id: str = "zenml/peft-lora-zencoder15B-personal-copilot"
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def chars_token_ratio(dataset, tokenizer, data_column, nb_examples=400):

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