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0862f9d | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 | #!/usr/bin/env python3
import logging
import sys
from pathlib import Path
logger = logging.getLogger("reader")
# Necessary to load the local gguf package
sys.path.insert(0, str(Path(__file__).parent.parent))
from gguf.gguf_reader import GGUFReader
def read_gguf_file(gguf_file_path):
"""
Reads and prints key-value pairs and tensor information from a GGUF file in an improved format.
Parameters:
- gguf_file_path: Path to the GGUF file.
"""
reader = GGUFReader(gguf_file_path)
# List all key-value pairs in a columnized format
print("Key-Value Pairs:") # noqa: NP100
max_key_length = max(len(key) for key in reader.fields.keys())
for key, field in reader.fields.items():
value = field.parts[field.data[0]]
print(f"{key:{max_key_length}} : {value}") # noqa: NP100
print("----") # noqa: NP100
# List all tensors
print("Tensors:") # noqa: NP100
tensor_info_format = "{:<30} | Shape: {:<15} | Size: {:<12} | Quantization: {}"
print(tensor_info_format.format("Tensor Name", "Shape", "Size", "Quantization")) # noqa: NP100
print("-" * 80) # noqa: NP100
for tensor in reader.tensors:
shape_str = "x".join(map(str, tensor.shape))
size_str = str(tensor.n_elements)
quantization_str = tensor.tensor_type.name
print(tensor_info_format.format(tensor.name, shape_str, size_str, quantization_str)) # noqa: NP100
if __name__ == '__main__':
if len(sys.argv) < 2:
logger.info("Usage: reader.py <path_to_gguf_file>")
sys.exit(1)
gguf_file_path = sys.argv[1]
read_gguf_file(gguf_file_path)
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