Update README.md

README.md

@@ -757,19 +757,25 @@ print(tokenizer.apply_chat_template(chat, tokenize=False))
 
 ## Renting instances to run the model
 
-### MassedCompute
+### Massed Compute Virtual Machine
 
 [Massed Compute](https://massedcompute.com/?utm_source=huggingface&utm_creative_format=model_card&utm_content=creator_jon) has created a Virtual Machine (VM) pre-loaded with TGI and Text Generation WebUI.
 
-1) For this model rent the [Jon Durbin 2xA6000](https://shop.massedcompute.com/products/jon-durbin-2x-a6000?utm_source=huggingface&utm_creative_format=model_card&utm_content=creator_jon) Virtual Machine use the code 'JonDurbin' for 50% your rental
-2) After you start your rental you will receive an email with instructions on how to Login to the VM
-3) Once inside the VM, open the terminal and run `conda activate text-generation-inference`
-4) Then `cd Desktop/text-generation-inference/`
-5) Run `volume=$PWD/data`
-6) Run `model=jondurbin/bagel-20b-v04-llama`
-7) `sudo docker run --gpus '"device=0,1"' --shm-size 1g -p 8080:80 -v $volume:/data ghcr.io/huggingface/text-generation-inference:1.3 --model-id $model`
-8) The model will take some time to load...
-9) Once loaded the model will be available on port 8080
+1) For this model, [create an account](https://bit.ly/jon-durbin) in Massed Compute. When renting a Virtual Machine use the code 'JonDurbin' for 50% your rental.
+2) After you created your account update your billing and navigate to the deploy page.
+3) Select the following
+    - GPU Type: A6000
+    - GPU Quantity: 1
+    - Category: Creator
+    - Image: Jon Durbin
+    - Coupon Code: JonDurbin
+4) Deploy the VM!
+5) Navigate to 'Running Instances' to retrieve instructions to login to the VM
+6) Once inside the VM, open the terminal and run `volume=$PWD/data`
+7) Run `model=jondurbin/bagel-20b-v04-llama`
+8) `sudo docker run --gpus all --shm-size 1g -p 8080:80 -v $volume:/data ghcr.io/huggingface/text-generation-inference:1.3 --model-id $model`
+9) The model will take some time to load...
+10) Once loaded the model will be available on port 8080
 
 Sample command within the VM
 ```