Update README.md

README.md

@@ -3,12 +3,12 @@ license: llama2
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-# RepLLaMA-7B-Passage
+# RepLLaMA-7B-Passage-MRL
 
 [Fine-Tuning LLaMA for Multi-Stage Text Retrieval](https://arxiv.org/abs/2310.08319).
 Xueguang Ma, Liang Wang, Nan Yang, Furu Wei, Jimmy Lin, arXiv 2023
 
-This model is fine-tuned from LLaMA-2-7B using LoRA and the embedding size is **flexible**.
+This model is fine-tuned from LLaMA-2-7B using LoRA and the embedding size is **flexible**, as Matryoshka Representation Learning is applied during training. The maximum dimensionality of query and passage embedding is 4096.
 
 ## Training Data
 The model is fine-tuned on the training split of [MS MARCO Passage Ranking](https://microsoft.github.io/msmarco/Datasets) datasets for 1 epoch.