llama.cpp/gguf-py/scripts/gguf-set-metadata.py
Brian a2ac89d6ef
convert.py : add python logging instead of print() (#6511)
* convert.py: add python logging instead of print()

* convert.py: verbose flag takes priority over dump flag log suppression

* convert.py: named instance logging

* convert.py: use explicit logger id string

* convert.py: convert extra print() to named logger

* convert.py: sys.stderr.write --> logger.error

* *.py: Convert all python scripts to use logging module

* requirements.txt: remove extra line

* flake8: update flake8 ignore and exclude to match ci settings

* gh-actions: add flake8-no-print to flake8 lint step

* pre-commit: add flake8-no-print to flake8 and also update pre-commit version

* convert-hf-to-gguf.py: print() to logger conversion

* *.py: logging basiconfig refactor to use conditional expression

* *.py: removed commented out logging

* fixup! *.py: logging basiconfig refactor to use conditional expression

* constant.py: logger.error then exit should be a raise exception instead

* *.py: Convert logger error and sys.exit() into a raise exception (for atypical error)

* gguf-convert-endian.py: refactor convert_byteorder() to use tqdm progressbar

* verify-checksum-model.py: This is the result of the program, it should be printed to stdout.

* compare-llama-bench.py: add blank line for readability during missing repo response

* reader.py: read_gguf_file() use print() over logging

* convert.py: warning goes to stderr and won't hurt the dump output

* gguf-dump.py: dump_metadata() should print to stdout

* convert-hf-to-gguf.py: print --> logger.debug or ValueError()

* verify-checksum-models.py: use print() for printing table

* *.py: refactor logging.basicConfig()

* gguf-py/gguf/*.py: use __name__ as logger name

Since they will be imported and not run directly.

* python-lint.yml: use .flake8 file instead

* constants.py: logger no longer required

* convert-hf-to-gguf.py: add additional logging

* convert-hf-to-gguf.py: print() --> logger

* *.py: fix flake8 warnings

* revert changes to convert-hf-to-gguf.py for get_name()

* convert-hf-to-gguf-update.py: use triple quoted f-string instead

* *.py: accidentally corrected the wrong line

* *.py: add compilade warning suggestions and style fixes
2024-05-03 22:36:41 +03:00

96 lines
4.0 KiB
Python
Executable File

#!/usr/bin/env python3
import logging
import argparse
import os
import sys
from pathlib import Path
# 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))
from gguf import GGUFReader # noqa: E402
logger = logging.getLogger("gguf-set-metadata")
def minimal_example(filename: str) -> None:
reader = GGUFReader(filename, 'r+')
field = reader.fields['tokenizer.ggml.bos_token_id']
if field is None:
return
part_index = field.data[0]
field.parts[part_index][0] = 2 # Set tokenizer.ggml.bos_token_id to 2
#
# So what's this field.data thing? It's helpful because field.parts contains
# _every_ part of the GGUF field. For example, tokenizer.ggml.bos_token_id consists
# of:
#
# Part index 0: Key length (27)
# Part index 1: Key data ("tokenizer.ggml.bos_token_id")
# Part index 2: Field type (4, the id for GGUFValueType.UINT32)
# Part index 3: Field value
#
# Note also that each part is an NDArray slice, so even a part that
# is only a single value like the key length will be a NDArray of
# the key length type (numpy.uint32).
#
# The .data attribute in the Field is a list of relevant part indexes
# and doesn't contain internal GGUF details like the key length part.
# In this case, .data will be [3] - just the part index of the
# field value itself.
def set_metadata(reader: GGUFReader, args: argparse.Namespace) -> None:
field = reader.get_field(args.key)
if field is None:
logger.error(f'! Field {repr(args.key)} not found')
sys.exit(1)
# Note that field.types is a list of types. This is because the GGUF
# format supports arrays. For example, an array of UINT32 would
# look like [GGUFValueType.ARRAY, GGUFValueType.UINT32]
handler = reader.gguf_scalar_to_np.get(field.types[0]) if field.types else None
if handler is None:
logger.error(f'! This tool only supports changing simple values, {repr(args.key)} has unsupported type {field.types}')
sys.exit(1)
current_value = field.parts[field.data[0]][0]
new_value = handler(args.value)
logger.info(f'* Preparing to change field {repr(args.key)} from {current_value} to {new_value}')
if current_value == new_value:
logger.info(f'- Key {repr(args.key)} already set to requested value {current_value}')
sys.exit(0)
if args.dry_run:
sys.exit(0)
if not args.force:
logger.warning('*** Warning *** Warning *** Warning **')
logger.warning('* Changing fields in a GGUF file can make it unusable. Proceed at your own risk.')
logger.warning('* Enter exactly YES if you are positive you want to proceed:')
response = input('YES, I am sure> ')
if response != 'YES':
logger.info("You didn't enter YES. Okay then, see ya!")
sys.exit(0)
field.parts[field.data[0]][0] = new_value
logger.info('* Field changed. Successful completion.')
def main() -> None:
parser = argparse.ArgumentParser(description="Set a simple value in GGUF file metadata")
parser.add_argument("model", type=str, help="GGUF format model filename")
parser.add_argument("key", type=str, help="Metadata key to set")
parser.add_argument("value", type=str, help="Metadata value to set")
parser.add_argument("--dry-run", action="store_true", help="Don't actually change anything")
parser.add_argument("--force", action="store_true", help="Change the field without confirmation")
parser.add_argument("--verbose", action="store_true", help="increase output verbosity")
args = parser.parse_args(None if len(sys.argv) > 1 else ["--help"])
logging.basicConfig(level=logging.DEBUG if args.verbose else logging.INFO)
logger.info(f'* Loading: {args.model}')
reader = GGUFReader(args.model, 'r' if args.dry_run else 'r+')
set_metadata(reader, args)
if __name__ == '__main__':
main()