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@@ -26,7 +26,7 @@ You can try a [demo](https://cloud.lambdalabs.com/demos/ml/pythia-6-9b-deduped-s
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  ### Prerequisites
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- Running inference with the model takes ~7GB of GPU memory.
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  ### Quick Start
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@@ -88,8 +88,10 @@ print(output)
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  Output:
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  ```
 
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  Question: How can I make an omelette.
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  Answer:To make an omelette, start by gathering the ingredients you will need. Beat some eggs in a bowl and season with salt and pepper. Heat a non-stick pan over medium heat and add a tablespoon of butter. Once the butter has melted, pour in the egg mixture and let it cook for a few minutes. As it cooks, use a spatula to lift the edges of the omelette and tilt the pan so that the uncooked egg runs underneath. Once the eggs are mostly cooked, add your desired fillings and fold the omelette in half. Let it cook for a few more minutes, then slide it onto a plate and enjoy.<|stop|>
 
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  ```
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  ### Training
 
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  ### Prerequisites
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+ Running inference with the model takes ~17GB of GPU memory.
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  ### Quick Start
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  Output:
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  ```
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+
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  Question: How can I make an omelette.
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  Answer:To make an omelette, start by gathering the ingredients you will need. Beat some eggs in a bowl and season with salt and pepper. Heat a non-stick pan over medium heat and add a tablespoon of butter. Once the butter has melted, pour in the egg mixture and let it cook for a few minutes. As it cooks, use a spatula to lift the edges of the omelette and tilt the pan so that the uncooked egg runs underneath. Once the eggs are mostly cooked, add your desired fillings and fold the omelette in half. Let it cook for a few more minutes, then slide it onto a plate and enjoy.<|stop|>
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  ```
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  ### Training