McGill-NLP
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LLM2Vec-Mistral-7B-Instruct-v2-mntp-unsup-simcse

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vaibhavad commited on Apr 10

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@@ -2524,7 +2524,7 @@ model-index:
 > LLM2Vec is a simple recipe to convert decoder-only LLMs into text encoders. It consists of 3 simple steps: 1) enabling bidirectional attention, 2) masked next token prediction, and 3) unsupervised contrastive learning. The model can be further fine-tuned to achieve state-of-the-art performance.
 - **Repository:** https://github.com/McGill-NLP/llm2vec
 ## Installation
 ```bash

 > LLM2Vec is a simple recipe to convert decoder-only LLMs into text encoders. It consists of 3 simple steps: 1) enabling bidirectional attention, 2) masked next token prediction, and 3) unsupervised contrastive learning. The model can be further fine-tuned to achieve state-of-the-art performance.
 - **Repository:** https://github.com/McGill-NLP/llm2vec
+- **Paper:** https://arxiv.org/abs/2404.05961
 ## Installation
 ```bash