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@@ -96,8 +96,10 @@ If you are facing issues when loading the model, you can try to load it **Quanti
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  model = AutoModelForCausalLM.from_pretrained(model_id, load_in_8bit=True)
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  ```
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- *Note*: The model loading strategy above requires the [*bitsandbytes*](https://pypi.org/project/bitsandbytes/) and [*accelerate*](https://pypi.org/project/accelerate/) libraries
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  ## Evaluation
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  <!-- This section describes the evaluation protocols and provides the results. -->
 
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  model = AutoModelForCausalLM.from_pretrained(model_id, load_in_8bit=True)
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  ```
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+ *Note*:
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+ 1) The model loading strategy above requires the [*bitsandbytes*](https://pypi.org/project/bitsandbytes/) and [*accelerate*](https://pypi.org/project/accelerate/) libraries
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+ 2) The Tokenizer, by default, adds at the beginning of the prompt the <BOS> token. If that is not the case, add as a starting token the *<s>* string.
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  ## Evaluation
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  <!-- This section describes the evaluation protocols and provides the results. -->