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- #!/usr/bin/env python3
- from __future__ import annotations
- import argparse
- import os
- import sys
- from pathlib import Path
- import numpy as np
- # Necessary to load the local gguf package
- if "NO_LOCAL_GGUF" not in os.environ and (Path(__file__).parent.parent.parent / 'gguf-py').exists():
- sys.path.insert(0, str(Path(__file__).parent.parent))
- import gguf
- def convert_byteorder(reader: gguf.GGUFReader, args: argparse.Namespace) -> None:
- if np.uint32(1) == np.uint32(1).newbyteorder("<"):
- # Host is little endian
- host_endian = "little"
- swapped_endian = "big"
- else:
- # Sorry PDP or other weird systems that don't use BE or LE.
- host_endian = "big"
- swapped_endian = "little"
- if reader.byte_order == "S":
- file_endian = swapped_endian
- else:
- file_endian = host_endian
- order = host_endian if args.order == "native" else args.order
- print(f"* Host is {host_endian.upper()} endian, GGUF file seems to be {file_endian.upper()} endian")
- if file_endian == order:
- print(f"* File is already {order.upper()} endian. Nothing to do.")
- sys.exit(0)
- print("* Checking tensors for conversion compatibility")
- for tensor in reader.tensors:
- if tensor.tensor_type not in (
- gguf.GGMLQuantizationType.F32,
- gguf.GGMLQuantizationType.F16,
- gguf.GGMLQuantizationType.Q8_0,
- ):
- raise ValueError(f"Cannot handle type {tensor.tensor_type.name} for tensor {repr(tensor.name)}")
- print(f"* Preparing to convert from {file_endian.upper()} to {order.upper()}")
- if args.dry_run:
- return
- print("\n*** Warning *** Warning *** Warning **")
- print("* This conversion process may damage the file. Ensure you have a backup.")
- if order != host_endian:
- print("* Requested endian differs from host, you will not be able to load the model on this machine.")
- print("* The file will be modified immediately, so if conversion fails or is interrupted")
- print("* the file will be corrupted. Enter exactly YES if you are positive you want to proceed:")
- response = input("YES, I am sure> ")
- if response != "YES":
- print("You didn't enter YES. Okay then, see ya!")
- sys.exit(0)
- print(f"\n* Converting fields ({len(reader.fields)})")
- for idx, field in enumerate(reader.fields.values()):
- print(f"- {idx:4}: Converting field {repr(field.name)}, part count: {len(field.parts)}")
- for part in field.parts:
- part.byteswap(inplace=True)
- print(f"\n* Converting tensors ({len(reader.tensors)})")
- for idx, tensor in enumerate(reader.tensors):
- print(
- f" - {idx:4}: Converting tensor {repr(tensor.name)}, type={tensor.tensor_type.name}, "
- f"elements={tensor.n_elements}... ",
- end="",
- )
- tensor_type = tensor.tensor_type
- for part in tensor.field.parts:
- part.byteswap(inplace=True)
- if tensor_type != gguf.GGMLQuantizationType.Q8_0:
- tensor.data.byteswap(inplace=True)
- print()
- continue
- # A Q8_0 block consists of a f16 delta followed by 32 int8 quants, so 34 bytes
- block_size = 34
- n_blocks = len(tensor.data) // block_size
- for block_num in range(n_blocks):
- block_offs = block_num * block_size
- # I know I said f16, but it doesn't matter here - any simple 16 bit type works.
- delta = tensor.data[block_offs:block_offs + 2].view(dtype=np.uint16)
- delta.byteswap(inplace=True)
- if block_num % 100000 == 0:
- print(f"[{(n_blocks - block_num) // 1000}K]", end="")
- sys.stdout.flush()
- print()
- print("* Completion")
- def main() -> None:
- parser = argparse.ArgumentParser(description="Convert GGUF file byte order")
- parser.add_argument(
- "model", type=str,
- help="GGUF format model filename",
- )
- parser.add_argument(
- "order", type=str, choices=['big', 'little', 'native'],
- help="Requested byte order",
- )
- parser.add_argument(
- "--dry-run", action="store_true",
- help="Don't actually change anything",
- )
- args = parser.parse_args(None if len(sys.argv) > 1 else ["--help"])
- print(f'* Loading: {args.model}')
- reader = gguf.GGUFReader(args.model, 'r' if args.dry_run else 'r+')
- convert_byteorder(reader, args)
- if __name__ == "__main__":
- main()
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