Update README.md

README.md

@@ -5,9 +5,20 @@
 This Docker configuration utilizes [OpenLLM](https://github.com/bentoml/OpenLLM) for both GPU and Serverless deployments on Runpod. It employs an environment variable, `MODE_TO_RUN`, to dictate the startup behavior. Depending on the `MODE_TO_RUN` value, the configuration may launch `handler.py` for serverless operations or initiate OpenSSH and Jupyter Lab for GPU pods. This adaptable setup allows for straightforward modifications to meet various deployment requirements.
 
 ## Avaliable Models on CI/CD
-https://hub.docker.com/r/justinwlin/mistral7b_openllm/tags
+Llama2 70B:
+https://runpod.io/gsc?template=iw1bjna1tc&ref=wqryvm1m
 https://hub.docker.com/r/justinwlin/llama2_70b_openllm/tags
+
+Mixtral 8x7B: 
+https://runpod.io/gsc?template=od8336xqgo&ref=wqryvm1m
 https://hub.docker.com/r/justinwlin/mixtral_8x7b_openllm/tags
+
+Mistral:
+https://runpod.io/gsc?template=pu8uaqw765&ref=wqryvm1m
+https://hub.docker.com/r/justinwlin/mistral7b_openllm/tags
+
+OpenLLM Llama2 13b - Pod and Serverless Ready
+https://runpod.io/gsc?template=0dok49hohe&ref=wqryvm1m
 https://hub.docker.com/r/justinwlin/llama2_13b_openllm/tags
 
 If you use them make sure to always specify fully with the tag in Runpod `justinwlin/llama2_13b_openllm:latest`