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Update README.md
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README.md
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@@ -27,6 +27,9 @@ model = AutoModelForCausalLM.from_pretrained(model_name, torch_dtype=torch.bfloa
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tokenizer = AutoTokenizer.from_pretrained(model_name)
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```
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### Licensing Information
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[Llama 3.1 Community License Agreement](https://huggingface.co/meta-llama/Llama-3.1-70B-Instruct/blob/main/LICENSE)
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tokenizer = AutoTokenizer.from_pretrained(model_name)
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```
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Alternatively, you can run the model using unsloth on a single 80GB using the [low-rank adapter](https://huggingface.co/marcelbinz/Llama-3.1-Centaur-70B-adapter).
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### Licensing Information
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[Llama 3.1 Community License Agreement](https://huggingface.co/meta-llama/Llama-3.1-70B-Instruct/blob/main/LICENSE)
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