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@@ -67,7 +67,7 @@ The quantized model is more sensitive to data types and CUDA operations. To avoi
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  inputs.input_ids.to('cuda')
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  ```
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- We have released checkpoints for these models. For pretraining, the naming convention is `stepXXX-tokensYYYB`. For checkpoints with ingredients of the soup, the naming convention is `stage2-ingredientN-stepXXX-tokensYYYB`
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  To load a specific model revision with HuggingFace, simply add the argument `revision`:
 
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  inputs.input_ids.to('cuda')
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  ```
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+ We have released checkpoints for these models. For pretraining, the naming convention is `stage1-stepXXX-tokensYYYB`. For checkpoints with ingredients of the soup, the naming convention is `stage2-ingredientN-stepXXX-tokensYYYB`
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  To load a specific model revision with HuggingFace, simply add the argument `revision`: