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task667_mmmlu_answer_generation_business_ethics

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@@ -31,7 +31,7 @@ LoRA trained on task667_mmmlu_answer_generation_business_ethics
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  <!-- Provide the basic links for the model. -->
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  - **Repository:** https://github.com/bruel-gabrielsson
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- - **Paper [optional]:** Compress then Serve: Serving Thousands of LoRA Adapters with Little Overhead, 2024, Rickard Brüel Gabrielsson, Jiacheng Zhu, Onkar Bhardwaj, Leshem Choshen, Kristjan Greenewald, Mikhail Yurochkin and Justin Solomon
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  - **Demo [optional]:** [More Information Needed]
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  ## Uses
@@ -80,7 +80,7 @@ Use the code below to get started with the model.
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  <!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
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- [More Information Needed]
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  ### Training Procedure
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  <!-- Provide the basic links for the model. -->
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  - **Repository:** https://github.com/bruel-gabrielsson
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+ - **Paper [optional]:** "Compress then Serve: Serving Thousands of LoRA Adapters with Little Overhead", 2024, Rickard Brüel Gabrielsson, Jiacheng Zhu, Onkar Bhardwaj, Leshem Choshen, Kristjan Greenewald, Mikhail Yurochkin and Justin Solomon
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  - **Demo [optional]:** [More Information Needed]
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  ## Uses
 
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  <!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
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+ task667_mmmlu_answer_generation_business_ethics
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  ### Training Procedure
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