task1391_winogrande_easy_answer_generation

README.md

@@ -80,7 +80,7 @@ Use the code below to get started with the model.
 
 <!-- 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. -->
 
-"task1391_winogrande_easy_answer_generation" sourced from https://github.com/allenai/natural-instructions
+https://huggingface.co/datasets/Lots-of-LoRAs/task1391_winogrande_easy_answer_generation sourced from https://github.com/allenai/natural-instructions
 
 ### Training Procedure
 
@@ -175,7 +175,15 @@ Carbon emissions can be estimated using the [Machine Learning Impact calculator]
 
 **BibTeX:**
 
-[More Information Needed]
+@misc{brüelgabrielsson2024compressserveservingthousands,
+    title={Compress then Serve: Serving Thousands of LoRA Adapters with Little Overhead}, 
+    author={Rickard Brüel-Gabrielsson and Jiacheng Zhu and Onkar Bhardwaj and Leshem Choshen and Kristjan Greenewald and Mikhail Yurochkin and Justin Solomon},
+    year={2024},
+    eprint={2407.00066},
+    archivePrefix={arXiv},
+    primaryClass={cs.DC},
+    url={https://arxiv.org/abs/2407.00066}, 
+}
 
 **APA:**