Update README.md

README.md

@@ -782,7 +782,7 @@ Think carefully before responding, and be sure to include your reasoning when ap
 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`
+6) Run `model=jondurbin/bagel-dpo-20b-v04`
 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
@@ -819,7 +819,7 @@ Be sure to set the following environment variables:
 | PUBLIC_KEY | `{paste your ssh public key}` |
 | UI_ARGS | `--trust-remote-code` |
 
-Access the webui via `http://{container IP address}:7860`, navigate to model, download jondurbin/bagel-20b-v04, and ensure the following values are set:
+Access the webui via `http://{container IP address}:7860`, navigate to model, download jondurbin/bagel-dpo-20b-v04, and ensure the following values are set:
 
 - `use_flash_attention_2` should be checked
 - set Model loader to Transformers
@@ -827,8 +827,6 @@ Access the webui via `http://{container IP address}:7860`, navigate to model, do
 
 ## Support me
 
-https://bmc.link/jondurbin
-
-ETH 0xce914eAFC2fe52FdceE59565Dd92c06f776fcb11
-
-BTC bc1qdwuth4vlg8x37ggntlxu5cjfwgmdy5zaa7pswf
+- https://bmc.link/jondurbin
+- ETH 0xce914eAFC2fe52FdceE59565Dd92c06f776fcb11
+- BTC bc1qdwuth4vlg8x37ggntlxu5cjfwgmdy5zaa7pswf