28 lines
1,014 B
Python
28 lines
1,014 B
Python
import os
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import argparse
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import llama_cpp
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def main(args):
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fname_inp = args.fname_inp.encode("utf-8")
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fname_out = args.fname_out.encode("utf-8")
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if not os.path.exists(fname_inp):
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raise RuntimeError(f"Input file does not exist ({fname_inp})")
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if os.path.exists(fname_out):
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raise RuntimeError(f"Output file already exists ({fname_out})")
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ftype = args.type
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args = llama_cpp.llama_model_quantize_default_params()
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args.ftype = ftype
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return_code = llama_cpp.llama_model_quantize(fname_inp, fname_out, args)
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if return_code != 0:
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raise RuntimeError("Failed to quantize model")
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if __name__ == "__main__":
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parser = argparse.ArgumentParser()
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parser.add_argument("fname_inp", type=str, help="Path to input model")
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parser.add_argument("fname_out", type=str, help="Path to output model")
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parser.add_argument("type", type=int, help="Type of quantization (2: q4_0, 3: q4_1), see llama_cpp.py for enum")
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args = parser.parse_args()
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main(args)
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