
This is a copy of the original [BLOOM weights](https://huggingface.co/bigscience/bloom) 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 BLOOM model itself, please see the [original BLOOM model card](https://huggingface.co/bigscience/bloom).

For examples on using this repo please see the following:
  * https://github.com/huggingface/transformers-bloom-inference
  * https://github.com/microsoft/DeepSpeed-MII
 
{"license": "bigscience-bloom-rail-1.0"}
transformers bloom feature-extraction license:bigscience-bloom-rail-1.0 endpoints_compatible has_space text-generation-inference region:us
TAGS
#transformers #bloom #feature-extraction #license-bigscience-bloom-rail-1.0 #endpoints_compatible #has_space #text-generation-inference #region-us 


This is a copy of the original BLOOM 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 BLOOM model itself, please see the original BLOOM model card.

For examples on using this repo please see the following:
  * URL
  * URL
 
TAGS
#transformers #bloom #feature-extraction #license-bigscience-bloom-rail-1.0 #endpoints_compatible #has_space #text-generation-inference #region-us 

passage: TAGS
#transformers #bloom #feature-extraction #license-bigscience-bloom-rail-1.0 #endpoints_compatible #has_space #text-generation-inference #region-us 
