Update README.md

README.md

@@ -75,7 +75,7 @@ or via a *local server* (see [vLLM](#vllm-recommended)):
 ```
 [[providers]]
 name = "vllm"
-api_base = "http://<your-host-url>:800/v1"
+api_base = "http://<your-host-url>:8000/v1"
 reasoning_as_structured_content = true
 reasoning_field_name = "reasoning_content"
 [[models]]
@@ -115,17 +115,39 @@ to implement production-ready inference pipelines.
 
 **_Installation_**
 
-Please make sure to install latest vLLM:
+> [!Tip]
+> We recommend installing vLLM from our custom Docker image that has fixes for
+> Tool Calling and Reasoning parsing in vLLM and uses the latest version of Transformers.
+> We're working with the vLLM team to merge these fixes to vLLM's main as soon as possible.
 
+**_Custom Docker_**
+
+Make sure to use the following docker image [mistralllm/vllm-ms4:latest](https://hub.docker.com/repository/docker/mistralllm/vllm-ms4/latest/):
+
+```
+docker pull mistralllm/vllm-ms4:latest
+docker run -it mistralllm/vllm-ms4:latest
+```
+
+**_Manual Install_**
+
+If you prefer, you can also manually install `vllm` from this PR: [Add Mistral Guidance](https://github.com/vllm-project/vllm/pull/37081).
+
+**Note**: It is likely that this PR will be split into smaller PRs and merged to `vllm` main in the coming 1-2 weeks (Stand: 16.03.2026).
+
+1. Git clone vLLM:
 ```
-uv pip install -U vllm
+git clone --branch fix_mistral_parsing https://github.com/juliendenize/vllm.git
 ```
 
-Alternatively you can also directly use the latest docker image [vllm/vllm-openai:latest](https://hub.docker.com/layers/vllm/vllm-openai/latest/):
+2. Install with pre-compiled kernels
+```
+VLLM_USE_PRECOMPILED=1 pip install --editable .
+```
 
+3. Make sure, `transformers` is installed from "main":
 ```
-docker pull vllm/vllm-openai:latest
-docker run -it vllm/vllm-openai:latest
+pip install git+https://github.com/huggingface/transformers.git
 ```
 
 Also make sure to have installed [`mistral_common >= 1.10.0`](https://github.com/mistralai/mistral-common/releases/tag/v1.10.0).