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blip2-opt-2.7b

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Inference Endpoints

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nielsr HF staff commited on Mar 19

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@@ -63,8 +63,6 @@ For code examples, we refer to the [documentation](https://huggingface.co/docs/t
 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.
-Training requires 4 times the
 | dtype             | Largest Layer or Residual Group | Total Size | Training using Adam |
 |-------------------|---------------------------------|------------|----------------------|
 | float32           | 490.94 MB                       | 14.43 GB   | 57.72 GB             |

 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.
 | dtype             | Largest Layer or Residual Group | Total Size | Training using Adam |
 |-------------------|---------------------------------|------------|----------------------|
 | float32           | 490.94 MB                       | 14.43 GB   | 57.72 GB             |