Update docker run command

README.md

@@ -40,7 +40,6 @@ This model is compatible with **[Friendli Container](https://friendli.ai/product
 - Before you begin, make sure you have signed up for [Friendli Suite](https://suite.friendli.ai/). **You can use Friendli Containers free of charge for four weeks.**
 - Prepare a Personal Access Token following [this guide](#preparing-personal-access-token).
 - Prepare a Friendli Container Secret following [this guide](#preparing-container-secret).
-- Install Hugging Face CLI with `pip install -U "huggingface_hub[cli]"`
 
 ### Preparing Personal Access Token
 
@@ -79,24 +78,14 @@ You should pass the container secret as an environment variable to run the conta
 Once you've prepared the image of Friendli Container, you can launch it to create a serving endpoint.
 
 ```sh
-export MODEL_DIR=$PWD/FriendliAI--Mistral-7B-Instruct-v0.2-fp8
-export FRIENDLI_CONTAINER_SECRET="YOUR CONTAINER SECRET"
-export FRIENDLI_CONTAINER_IMAGE="registry.friendli.ai/trial"
-export GPU_ENUMERATION='"device=0"'
-
-huggingface-cli download FriendliAI/Mistral-7B-Instruct-v0.2-fp8 \
-  --local-dir $MODEL_DIR \
-  --local-dir-use-symlinks False
-
 docker run \
-  --gpus $GPU_ENUMERATION --network=host --ipc=host \
-  -v $MODEL_DIR:/model \
-  -e FRIENDLI_CONTAINER_SECRET=$FRIENDLI_CONTAINER_SECRET \
-  $FRIENDLI_CONTAINER_IMAGE /bin/bash -c \
-  "/root/launcher \
-    --web-server-port 6000 \
-    --ckpt-path /model \
-    --ckpt-type hf_safetensors"
+  --gpus '"device=0"' \
+  -p 8000:8000 \
+  -v ~/.cache/huggingface:/root/.cache/huggingface \
+  -e FRIENDLI_CONTAINER_SECRET="YOUR CONTAINER SECRET" \
+  registry.friendli.ai/trial \
+    --web-server-port 8000 \
+    --hf-model-name FriendliAI/Mistral-7B-Instruct-v0.2-fp8
 ```
 
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