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convert : more detailed convert lora usage docs (#10065)
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@ -230,7 +230,7 @@ def get_base_tensor_name(lora_tensor_name: str) -> str:
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def parse_args() -> argparse.Namespace:
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parser = argparse.ArgumentParser(
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description="Convert a huggingface PEFT LoRA adapter to a GGML compatible file")
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description="Convert a Hugging Face PEFT LoRA adapter to a GGUF file")
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parser.add_argument(
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"--outfile", type=Path,
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help="path to write to; default: based on input. {ftype} will be replaced by the outtype.",
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@ -257,11 +257,11 @@ def parse_args() -> argparse.Namespace:
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)
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parser.add_argument(
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"--base", type=Path, required=True,
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help="directory containing base model file",
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help="directory containing Hugging Face model config files (config.json, tokenizer.json) for the base model that the adapter is based on - only config is needed, actual model weights are not required",
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)
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parser.add_argument(
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"lora_path", type=Path,
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help="directory containing LoRA adapter file",
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help="directory containing Hugging Face PEFT LoRA config (adapter_model.json) and weights (adapter_model.safetensors or adapter_model.bin)",
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)
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return parser.parse_args()
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