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@@ -42,7 +42,7 @@ The model is evaluated based on several metrics, including loss, reward, penalty
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  - perplexity: 4.3
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  ## Limitations and Bias
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- This model is not suitable for all use cases due to its limited training time on a weak computer. As a result, it may produce irrelevant or nonsensical responses. For optimal performance, I recommend using a GPU with at least 12 GB of VRAM and downloading the model manually instead of using the Transformers library. Here's how you should deploy the model:
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  ```python
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  import torch
 
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  - perplexity: 4.3
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  ## Limitations and Bias
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+ This model is not suitable for all use cases due to its limited training time on a weak computer. As a result, it may produce irrelevant or nonsensical responses. For optimal performance, I recommend using a GPU with at least 16 GB of VRAM and downloading the model manually instead of using the Transformers library. Here's how you should deploy the model:
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  ```python
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  import torch