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@@ -63,8 +63,6 @@ For code examples, we refer to the [documentation](https://huggingface.co/docs/t
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  The memory requirements differ based on the precision one uses. One can use 4-bit inference using [Bitsandbytes](https://huggingface.co/blog/4bit-transformers-bitsandbytes), which greatly reduce the memory requirements.
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- Training requires 4 times the
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  | dtype | Largest Layer or Residual Group | Total Size | Training using Adam |
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  |-------------------|---------------------------------|------------|----------------------|
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  | float32 | 490.94 MB | 14.43 GB | 57.72 GB |
 
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  The memory requirements differ based on the precision one uses. One can use 4-bit inference using [Bitsandbytes](https://huggingface.co/blog/4bit-transformers-bitsandbytes), which greatly reduce the memory requirements.
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  | dtype | Largest Layer or Residual Group | Total Size | Training using Adam |
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  |-------------------|---------------------------------|------------|----------------------|
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  | float32 | 490.94 MB | 14.43 GB | 57.72 GB |