diff --git a/README.md b/README.md
index 6d94885..e6d71b7 100644
--- a/README.md
+++ b/README.md
@@ -7,29 +7,16 @@ Clone the repository to `custom_nodes`:
 git clone https://github.com/Zuellni/ComfyUI-ExLlama-Nodes custom_nodes/ComfyUI-ExLlamaV2-Nodes
 ```
 
-Install the requirements:
+Install requirements, use wheels for [ExLlamaV2](https://github.com/turboderp/exllamav2/releases/latest) and [Flash Attention](https://github.com/bdashore3/flash-attention/releases/latest) on Windows:
 ```
 pip install -r custom_nodes/ComfyUI-ExLlamaV2-Nodes/requirements.txt
 ```
 
-On Windows, install one of the precompiled [wheels](https://github.com/turboderp/exllamav2/releases/latest) instead:
-```
-pip install https://github.com/turboderp/exllamav2/releases/download/v0.0.xx/exllamav2-0.0.xx+cuXXX-cpXXX-cpXXX-win_amd64.whl
-```
-
-Check which one you need with:
-```
-python -c "import sys, torch; print(f'cu{torch.version.cuda.replace('.', '')}-cp{sys.version_info[0]}{sys.version_info[1]}')"
-```
-
-> [!CAUTION]
-> If you see errors related to ExLlamaV2 while loading the nodes, try to install it following the [official instructions](https://github.com/turboderp/exllamav2#installation).
-
 ## Usage
-Only EXL2, 4-bit GPTQ, and unquantized HF models are supported. You can find them on [Hugging Face](https://huggingface.co). See the model card in each repository for details on instruction formats.
+Only EXL2, 4-bit GPTQ, and unquantized HF models are supported. You can find them on [Hugging Face](https://huggingface.co).
 
 To use a model with the nodes, you should clone its repository with git or manually download all the files and place them in `models/llm`.
-For example, if you'd like to download the 6-bit [Llama-3-8B-Instruct](https://huggingface.co/turboderp/Llama-3-8B-Instruct-exl2), use the following command:
+For example, if you want to download the 6-bit [Llama-3-8B-Instruct](https://huggingface.co/turboderp/Llama-3-8B-Instruct-exl2), use the following command:
 ```
 git install lfs
 git clone https://huggingface.co/turboderp/Llama-3-8B-Instruct-exl2 -b 6.0bpw models/llm/Llama-3-8B-Instruct-exl2-6.0bpw