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28 lines
976 B
Python
28 lines
976 B
Python
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import argparse
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import os
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import tempfile
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import boto3
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from tqdm import tqdm
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from transformers import AutoModel, Qwen2VLForConditionalGeneration
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from smart_open import smart_open
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def main():
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parser = argparse.ArgumentParser(description='Fix up a Qwen2VL checkpoint saved on s3 or otherwise, so that it will load properly in vllm/birr')
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parser.add_argument('s3_path', type=str, help='S3 path to the Hugging Face checkpoint.')
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args = parser.parse_args()
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# Create a temporary directory to store the model files
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# Rewrite the config.json from the official repo, this fixes a weird bug with the rope scaling configuration
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with smart_open("https://huggingface.co/Qwen/Qwen2-VL-7B-Instruct/resolve/main/config.json", "r") as newf:
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new_config = newf.read()
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with smart_open(os.path.join(args.s3_path, "config.json"), "w") as oldf:
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oldf.write(new_config)
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print("Model updated successfully.")
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if __name__ == '__main__':
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main()
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