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  ---
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  license: apache-2.0
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  pipeline_tag: summarization
 
 
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  ---
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  # SliceX AI™ ELM (Efficient Language Models)
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  **ELM** (which stands for **E**fficient **L**anguage **M**odels) is the first version in the series of cutting-edge language models from [SliceX AI](https://slicex.ai) that is designed to achieve the best in class performance in terms of _quality_, _throughput_ & _memory_.
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  This repository contains code to run our ELM models. The current ELM model `elm-v0.1` (named _Rambutan_) was pre-trained (an intermediate checkpoint was used) and then instruction fine-tuned for downstream tasks.
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  Models are located in the `models` folder. ELM models in this repository comes in three sizes (elm-1.0, elm-0.75 and elm-0.25) and supports the following use-case.
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- - news_summarization
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  ## Setup ELM
 
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  ---
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  license: apache-2.0
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  pipeline_tag: summarization
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+ datasets:
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+ - cnn_dailymail
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  ---
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  # SliceX AI™ ELM (Efficient Language Models)
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  **ELM** (which stands for **E**fficient **L**anguage **M**odels) is the first version in the series of cutting-edge language models from [SliceX AI](https://slicex.ai) that is designed to achieve the best in class performance in terms of _quality_, _throughput_ & _memory_.
 
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  This repository contains code to run our ELM models. The current ELM model `elm-v0.1` (named _Rambutan_) was pre-trained (an intermediate checkpoint was used) and then instruction fine-tuned for downstream tasks.
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  Models are located in the `models` folder. ELM models in this repository comes in three sizes (elm-1.0, elm-0.75 and elm-0.25) and supports the following use-case.
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+ - news_summarization (cnn dailymail dataset)
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  ## Setup ELM