Update the docs

README.md

@@ -198,7 +198,7 @@ Be aware that the official Docker image has them enabled by default.
 
 ## Optimized architectures
 
-TGI works out of the box to serve optimized models in [this list](https://huggingface.co/docs/text-generation-inference/supported_models).
+TGI works out of the box to serve optimized models for all modern models. They can be found in [this list](https://huggingface.co/docs/text-generation-inference/supported_models).
 
 Other architectures are supported on a best-effort basis using:
 

docs/source/supported_models.md

@@ -19,7 +19,9 @@ The following models are optimized and can be served with TGI, which uses custom
 - [MPT](https://huggingface.co/mosaicml/mpt-30b)
 - [Llama V2](https://huggingface.co/meta-llama)
 - [Code Llama](https://huggingface.co/codellama)
-- [Mistral](https://huggingface.co/mistralai/Mistral-7B-Instruct-v0.1)
+- [Mistral](https://huggingface.co/mistralai/Mistral-7B-Instruct-v0.2)
+- [Mixtral](https://huggingface.co/mistralai/Mixtral-8x7B-Instruct-v0.1)
+- [Phi](https://huggingface.co/microsoft/phi-2)
 
 If the above list lacks the model you would like to serve, depending on the model's pipeline type, you can try to initialize and serve the model anyways to see how well it performs, but performance isn't guaranteed for non-optimized models: