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@@ -56,7 +56,7 @@ print(tokenizer.decode(tokens[0], skip_special_tokens=True))
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  ### Training Procedure
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- Models are pre-trained on the aforementioned dataset in mixed-precision (FP16), optimized with Adam, and trained using the NeoX tokenizer with a vocabulary size of 50,257. We outline the complete hyperparameters choices in the project's [GitHub repository](https://github.com/Stability-AI/StableLM-staging/blob/main/configs/stablelm-base-alpha-7b.yaml).
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  ## Use and Limitations
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  ### Training Procedure
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+ Models are pre-trained on the aforementioned dataset in mixed-precision (FP16), optimized with Adam, and trained using the NeoX tokenizer with a vocabulary size of 50,257. We outline the complete hyperparameters choices in the project's [GitHub repository](https://github.com/Stability-AI/StableLM/blob/main/configs/stablelm-base-alpha-7b.yaml).
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  ## Use and Limitations
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