# Copyright (c) 2025, NVIDIA CORPORATION. All rights reserved. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing, software # distributed under the License is distributed on an "AS IS" BASIS, # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. # See the License for the specific language governing permissions and # limitations under the License. import argparse import os from .data.create_sample_jsonl import create_sample_jsonl from .models.create_hf_model import create_hf_model print("Setup test data and models...") parser = argparse.ArgumentParser("Setup test data and models.") parser.add_argument("--save_dir", required=True, help="Root save directory for artifacts") parser.add_argument("--overwrite", action="store_true", help="Overwrite existing files and directories") args = parser.parse_args() print(f"Arguments are: {vars(args)}") os.makedirs(args.save_dir, exist_ok=True) create_sample_jsonl( output_file=os.path.join(args.save_dir, "test_quantization", "test.json"), overwrite=args.overwrite, ) create_hf_model( model_name_or_path="/home/TestData/nlp/megatron_llama/llama-ci-hf", output_dir=os.path.join(args.save_dir, "megatron_llama/llama-ci-hf-tiny"), config_updates={"hidden_size": 256, "num_attention_heads": 4, "num_hidden_layers": 2, "num_key_value_heads": 4}, overwrite=args.overwrite, ) print("Setup done.")