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py : cast lora_alpha to int in convert-lora-to-ggml (#1170)
Co-authored-by: Pavol Rusnak <pavol@rusnak.io>
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bb98e77be7
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1 changed files with 7 additions and 2 deletions
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@ -49,7 +49,12 @@ def translate_tensor_name(t: str) -> str:
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def write_file_header(fout: TextIO, params: Dict[str, Any]) -> None:
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fout.write(b"ggla"[::-1]) # magic (ggml lora)
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fout.write(struct.pack("i", 1)) # file version
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fout.write(struct.pack("ii", params["r"], params["lora_alpha"]))
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fout.write(struct.pack("i", params["r"]))
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# https://opendelta.readthedocs.io/en/latest/modules/deltas.html says that `lora_alpha` is an int
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# but some models ship a float value instead
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# let's convert to int, but fail if lossless conversion is not possible
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assert int(params["lora_alpha"]) == params["lora_alpha"], "cannot convert float to int losslessly"
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fout.write(struct.pack("i", int(params["lora_alpha"])))
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def write_tensor_header(
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@ -89,7 +94,7 @@ if params["peft_type"] != "LORA":
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print(f"Error: unsupported adapter type {params['peft_type']}, expected LORA")
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sys.exit(1)
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if params["fan_in_fan_out"] == True:
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if params["fan_in_fan_out"] is True:
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print("Error: param fan_in_fan_out is not supported")
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sys.exit(1)
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