# 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) -> None:
+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)
bar = tqdm(desc="Hashing", total=total_weights, unit="weights", unit_scale=True, disable=disable_progress_bar)
# Hashing Process
- for n, tensor in enumerate(reader.tensors, 1):
+ for tensor in reader.tensors:
# We don't need these
if tensor.name.endswith((".attention.masked_bias", ".attention.bias", ".rotary_emb.inv_freq")):
sum_weights_in_tensor *= dim
bar.update(sum_weights_in_tensor)
- sha1_layer = hashlib.sha1()
- sha1_layer.update(tensor.data.data)
+ 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)
- print("sha1 {0} {1}:{2}".format(sha1_layer.hexdigest(), filename, tensor.name)) # noqa: NP100
# Flush Hash Progress Bar
bar.close()
# Display Hash Output
- print("sha1 {0} {1}".format(sha1.hexdigest(), filename)) # noqa: NP100
- print("UUIDv5 {0} {1}".format(uuid.UUID(bytes=uuidv5_sha1.digest()[:16], version=5), filename)) # noqa: NP100
+ 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)
+ gguf_hash(reader, args.model, not args.progressbar, args.no_layer)
if __name__ == '__main__':