Update README.md

README.md

@@ -73,23 +73,23 @@ to implement production-ready inference pipelines.
 
 **_Installation_**
 
-Make sure you install [`vLLM >= v0.#.#`](https://github.com/vllm-project/vllm/releases/tag/v0.#.#):
+Make sure you install [`vLLM >= 0.6.4`](https://github.com/vllm-project/vllm/releases/tag/v0.6.4):
 
 ```
 pip install --upgrade vllm
 ```
 
-Also make sure you have [`mistral_common >= 1.#.#`](https://github.com/mistralai/mistral-common/releases/tag/v1.#.#) installed:
+Also make sure you have [`mistral_common >= 1.5.2`](https://github.com/mistralai/mistral-common/releases/tag/v1.5.2) installed:
 
 ```
 pip install --upgrade mistral_common
 ```
 
-You can also make use of a ready-to-go [docker image](https://github.com/vllm-project/vllm/blob/main/Dockerfile) or on the [docker hub](https://hub.docker.com/layers/vllm/vllm-openai/latest/images/##).
+You can also make use of a ready-to-go [docker image](https://github.com/vllm-project/vllm/blob/main/Dockerfile) or on the [docker hub](https://hub.docker.com/layers/vllm/vllm-openai/latest/images/sha256-de9032a92ffea7b5c007dad80b38fd44aac11eddc31c435f8e52f3b7404bbf39).
 
 #### Server
 
-We recommand that you use Mistral-Small-Instruct-2411 in a server/client setting. 
+We recommand that you use Mistral-Small-Instruct-2501 in a server/client setting. 
 
 1. Spin up a server: