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