fix(benchmarks) Update llm leaderboard readme (adap#4597)

benchmarks/flowertune-llm/README.md

@@ -16,8 +16,7 @@ Then, create a new Python environment and install Flower.
 > We recommend using `pyenv` with the `virtualenv` plugin to create your environment with Python >= 3.10.0. Other managers, such as Conda, will likely work as well. Check the [documentation](https://flower.ai/docs/framework/how-to-install-flower.html) for alternative ways to install Flower.
 
 ```shell
-# We use this dev version until flwr 1.13.0 is out
-pip install git+https://github.com/adap/flower.git@d92453d
+pip install flwr
 ```
 
 In the new environment, create a new Flower project using the `FlowerTune` template. You will be prompted for a name to give to your app/project, your username, and for your choice of LLM challenge: