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#!/usr/bin/env python3 | |
import logging | |
import sys | |
from pathlib import Path | |
from gguf.gguf_reader import GGUFReader | |
logger = logging.getLogger("reader") | |
sys.path.insert(0, str(Path(__file__).parent.parent)) | |
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) | |