75 lines
2.1 KiB
Python
75 lines
2.1 KiB
Python
# SPDX-License-Identifier: Apache-2.0
|
|
"""
|
|
Saves each worker's model state dict directly to a checkpoint, which enables a
|
|
fast load path for large tensor-parallel models where each worker only needs to
|
|
read its own shard rather than the entire checkpoint.
|
|
|
|
Example usage:
|
|
|
|
python save_sharded_state.py \
|
|
--model-path /path/to/load \
|
|
--quantization deepspeedfp \
|
|
--tensor-parallel-size 8 \
|
|
--output /path/to/save
|
|
|
|
Then, the model can be loaded with
|
|
|
|
llm = Engine(
|
|
model_path="/path/to/save",
|
|
load_format="sharded_state",
|
|
quantization="deepspeedfp",
|
|
tensor_parallel_size=8,
|
|
)
|
|
"""
|
|
import dataclasses
|
|
import os
|
|
import shutil
|
|
from argparse import ArgumentParser
|
|
from pathlib import Path
|
|
|
|
from sglang import Engine, ServerArgs
|
|
|
|
parser = ArgumentParser()
|
|
ServerArgs.add_cli_args(parser)
|
|
|
|
parser.add_argument(
|
|
"--output", "-o", required=True, type=str, help="path to output checkpoint"
|
|
)
|
|
parser.add_argument(
|
|
"--file-pattern", type=str, help="string pattern of saved filenames"
|
|
)
|
|
parser.add_argument(
|
|
"--max-file-size",
|
|
type=str,
|
|
default=5 * 1024**3,
|
|
help="max size (in bytes) of each safetensors file",
|
|
)
|
|
|
|
|
|
def main(args):
|
|
engine_args = ServerArgs.from_cli_args(args)
|
|
model_path = engine_args.model_path
|
|
if not Path(model_path).is_dir():
|
|
raise ValueError("model path must be a local directory")
|
|
# Create LLM instance from arguments
|
|
llm = Engine(**dataclasses.asdict(engine_args))
|
|
Path(args.output).mkdir(exist_ok=True)
|
|
llm.save_sharded_model(
|
|
path=args.output, pattern=args.file_pattern, max_size=args.max_file_size
|
|
)
|
|
|
|
# Copy metadata files to output directory
|
|
for file in os.listdir(model_path):
|
|
if os.path.splitext(file)[1] not in (".bin", ".pt", ".safetensors"):
|
|
if os.path.isdir(os.path.join(model_path, file)):
|
|
shutil.copytree(
|
|
os.path.join(model_path, file), os.path.join(args.output, file)
|
|
)
|
|
else:
|
|
shutil.copy(os.path.join(model_path, file), args.output)
|
|
|
|
|
|
if __name__ == "__main__":
|
|
args = parser.parse_args()
|
|
main(args)
|