This is a copy of the original [OPT weights](https://huggingface.co/facebook/opt-30b) that is more efficient to use with the [DeepSpeed-MII](https://github.com/microsoft/deepspeed-mii) and [DeepSpeed-Inference](https://www.deepspeed.ai/tutorials/inference-tutorial/). In this repo the original tensors are split into 8 shards to target 8 GPUs, this allows the user to run the model with DeepSpeed-inference Tensor Parallelism.

For specific details about the OPT model itself, please see the [original OPT model card](https://huggingface.co/facebook/opt-30b).

For examples on using this repo please see the following:
  * https://github.com/huggingface/transformers-bloom-inference
  * https://github.com/microsoft/DeepSpeed-MII
{}
transformers opt text-generation autotrain_compatible endpoints_compatible text-generation-inference region:us
TAGS
#transformers #opt #text-generation #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us 

This is a copy of the original OPT weights that is more efficient to use with the DeepSpeed-MII and DeepSpeed-Inference. In this repo the original tensors are split into 8 shards to target 8 GPUs, this allows the user to run the model with DeepSpeed-inference Tensor Parallelism.

For specific details about the OPT model itself, please see the original OPT model card.

For examples on using this repo please see the following:
  * URL
  * URL
TAGS
#transformers #opt #text-generation #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us 

TAGS
#transformers #opt #text-generation #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us 
