Update README.md

README.md

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 ## Munin 7b e5
 This model has 32 layers and the embedding size is 4096.
 
-This model utilizes the lora adapter layer introduced in the paper [Improving Text Embeddings with Large Language Models](https://arxiv.org/pdf/2401.00368.pdf) along with the [merged model](https://huggingface.co/RJuro/munin-neuralbeagle-7b) by Roman Jurowetzki which merged the [Danish Munin model](https://huggingface.co/danish-foundation-models/munin-7b-alpha) with the [NeuralBeagle](https://huggingface.co/mlabonne/NeuralBeagle14-7B) model.
+This model utilizes the lora adapter layer introduced in the paper [Improving Text Embeddings with Large Language Models](https://arxiv.org/pdf/2401.00368.pdf) along with the [Danish Munin model](https://huggingface.co/danish-foundation-models/munin-7b-alpha) model.
 
 
 ## Usage