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gguf-py : move scripts directory (#11116)

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* Moved scripts dir and fixed pyproject.toml

* updated readme

* fixed README urls

* bump pypi gguf to v0.14.0

* retrigger ci

* empty commit - trigger ci
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Vinesh Janarthanan 2025-01-08 12:54:58 -06:00 • committed by GitHub
parent 1bf839b1e8
commit 8a1d9c25fa
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gguf-py/scripts/gguf_hash.py
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#!/usr/bin/env python3
from __future__ import annotations
import uuid
import hashlib
import logging
import argparse
import os
import sys
from pathlib import Path
from tqdm import tqdm
# 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-hash")
# UUID_NAMESPACE_LLAMA_CPP = uuid.uuid5(uuid.NAMESPACE_URL, 'en.wikipedia.org/wiki/Llama.cpp')
UUID_NAMESPACE_LLAMA_CPP = uuid.UUID('ef001206-dadc-5f6d-a15f-3359e577d4e5')
# For more information about what field.parts and field.data represent,
# please see the comments in the modify_gguf.py example.
def gguf_hash(reader: GGUFReader, filename: str, disable_progress_bar: bool, no_layer: bool) -> None:
sha1 = hashlib.sha1()
sha256 = hashlib.sha256()
uuidv5_sha1 = hashlib.sha1()
uuidv5_sha1.update(UUID_NAMESPACE_LLAMA_CPP.bytes)
# Total Weight Calculation For Progress Bar
total_weights = 0
for n, tensor in enumerate(reader.tensors, 1):
# We don't need these
if tensor.name.endswith((".attention.masked_bias", ".attention.bias", ".rotary_emb.inv_freq")):
continue
# Calculate Tensor Volume
sum_weights_in_tensor = 1
for dim in tensor.shape:
sum_weights_in_tensor *= dim
total_weights += sum_weights_in_tensor
# Hash Progress Bar
bar = tqdm(desc="Hashing", total=total_weights, unit="weights", unit_scale=True, disable=disable_progress_bar)
# Hashing Process
for tensor in reader.tensors:
# We don't need these
if tensor.name.endswith((".attention.masked_bias", ".attention.bias", ".rotary_emb.inv_freq")):
continue
# Progressbar
sum_weights_in_tensor = 1
for dim in tensor.shape:
sum_weights_in_tensor *= dim
bar.update(sum_weights_in_tensor)
if not no_layer:
sha1_layer = hashlib.sha1()
sha1_layer.update(tensor.data.data)
print("sha1 {0} {1}:{2}".format(sha1_layer.hexdigest(), filename, tensor.name)) # noqa: NP100
sha256_layer = hashlib.sha256()
sha256_layer.update(tensor.data.data)
print("sha256 {0} {1}:{2}".format(sha256_layer.hexdigest(), filename, tensor.name)) # noqa: NP100
sha1.update(tensor.data.data)
sha256.update(tensor.data.data)
uuidv5_sha1.update(tensor.data.data)
# Flush Hash Progress Bar
bar.close()
# Display Hash Output
print("sha1 {0} {1}".format(sha1.hexdigest(), filename)) # noqa: NP100
print("sha256 {0} {1}".format(sha256.hexdigest(), filename)) # noqa: NP100
print("uuid {0} {1}".format(uuid.UUID(bytes=uuidv5_sha1.digest()[:16], version=5), filename)) # noqa: NP100
def main() -> None:
parser = argparse.ArgumentParser(description="Dump GGUF file metadata")
parser.add_argument("model", type=str, help="GGUF format model filename")
parser.add_argument("--no-layer", action="store_true", help="exclude per layer hash")
parser.add_argument("--verbose", action="store_true", help="increase output verbosity")
parser.add_argument("--progressbar", action="store_true", help="enable progressbar")
args = parser.parse_args(None if len(sys.argv) > 1 else ["--help"])
logging.basicConfig(level=logging.DEBUG if args.verbose else logging.INFO)
reader = GGUFReader(args.model, 'r')
gguf_hash(reader, args.model, not args.progressbar, args.no_layer)
if __name__ == '__main__':
main()