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Update README.md

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@@ -31,7 +31,7 @@ This model can be loaded with:
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  from transformers import AutoModelForCausalLM, AutoTokenizer
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  import torch
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- model = AutoModelForCausalLM.from_pretrained("{repo_name}", device_map="auto", torch_dtype=torch.float16)
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- tokenizer = AutoTokenizer.from_pretrained("{repo_name}")
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  ```
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  from transformers import AutoModelForCausalLM, AutoTokenizer
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  import torch
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+ model = AutoModelForCausalLM.from_pretrained("glouriousgautam/llama-3-8b-instruct-bnb-4bit", device_map="auto", torch_dtype=torch.float16)
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+ tokenizer = AutoTokenizer.from_pretrained("glouriousgautam/llama-3-8b-instruct-bnb-4bit")
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  ```
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