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14 lines
423 B
Python
14 lines
423 B
Python
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from transformers import AutoModelForCausalLM, AutoTokenizer
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import torch
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# Load model
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model = AutoModelForCausalLM.from_pretrained("gym-output/model")
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tokenizer = AutoTokenizer.from_pretrained("gym-output/model")
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# Save in format llama.cpp can use
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model.save_pretrained("model-for-gguf", safe_serialization=False)
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tokenizer.save_pretrained("model-for-gguf")
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print("Model ready for GGUF conversion at model-for-gguf/")
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