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I have a Llama 2 7b model fine tuned for a downstream task and stored in transformers format, i.e. my model file structure looks like this:
-a--- 7/28/2023 4:30 PM 623 config.json
-a--- 7/28/2023 4:30 PM 160 generation_config.json
-a--- 7/27/2023 4:00 AM 9976672446 pytorch_model-00001-of-00002.bin
-a--- 7/27/2023 4:00 AM 3500355411 pytorch_model-00002-of-00002.bin
-a--- 7/27/2023 4:00 AM 26788 pytorch_model.bin.index.json
-a--- 7/27/2023 4:00 AM 576 special_tokens_map.json
-a--- 7/27/2023 4:00 AM 698 tokenizer_config.json
-a--- 7/27/2023 4:00 AM 1843709 tokenizer.json
-a--- 7/27/2023 4:00 AM 6011 training_args.bin
I know the convert.py file expects the original Llama 2 structure, how would I modify it to make this work? I'm not too sure what the tokenizer.model file format is like, or how to convert the tokenizer.json file into it.
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