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license: other
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This is a copy of the original [BLOOMChat weights](https://huggingface.co/sambanovasystems/BLOOMChat-176B-v1/tree/main) that is more efficient to use with the [DeepSpeed-Inference](https://www.deepspeed.ai/tutorials/inference-tutorial/)
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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.
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For specific details about the BLOOMChat model itself, please see the [original BLOOMChat model card](https://huggingface.co/sambanovasystems/BLOOMChat-176B-v1).
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license: other
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This is a copy of the original 🌸 [BLOOMChat weights](https://huggingface.co/sambanovasystems/BLOOMChat-176B-v1/tree/main) that is more efficient to use with the [DeepSpeed-Inference](https://www.deepspeed.ai/tutorials/inference-tutorial/) 🚀.
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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.
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For specific details about the BLOOMChat model itself, please see the [original BLOOMChat model card](https://huggingface.co/sambanovasystems/BLOOMChat-176B-v1).
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This work was performed using AI/HPC resources (Jean Zay supercomputer) from GENCI-[IDRIS](http://www.idris.fr/)
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