diff --git a/elise/README.md b/elise/README.md
index 54f4b02eee7efbd98994ad4d25eeddcdd667fd9c..9da8853da27334db100a7789a3ea19197f9977c7 100644
--- a/elise/README.md
+++ b/elise/README.md
@@ -4,19 +4,24 @@ Extracted Literal Search is a simple method for Retrieval Augmented Generation (
 
 For small datasets where most of the data fields are known literals, this method is easier to implement and might provide better results than Similarity Search of embeddings.
 
-
 ## Installation
 
 Make sure you have `poetry` installed.
+
 > pip install --local poetry
 
 Install the package.
+
 > poetry install
 
+Export your Huggingface token.
+
+> export HUGGING_FACE_HUB_TOKEN=<TOKEN>
+
 Run the vLLM server. For example with a quantized Llama-2 model.
-> poetry run python -m outlines.serve.serve --model="TheBloke/Llama-2-7b-Chat-GPTQ" -q gptq
 
+> poetry run python -m outlines.serve.serve --model="TheBloke/Llama-2-7b-Chat-GPTQ" -q gptq
 
 ## Usage
 
-Define your domain specific prompts.
\ No newline at end of file
+Define your domain specific prompts.