Remove unnecessary explicit title anchors and use relative links instead (#20620)

Signed-off-by: Harry Mellor <19981378+hmellor@users.noreply.github.com>

docs/getting_started/installation/README.md

@@ -1,7 +1,6 @@
 ---
 title: Installation
 ---
-[](){ #installation-index }
 
 vLLM supports the following hardware platforms:
 

docs/getting_started/installation/intel_gaudi.md

@@ -109,8 +109,8 @@ docker run \
 
 ### Supported features
 
-- [Offline inference][offline-inference]
-- Online serving via [OpenAI-Compatible Server][serving-openai-compatible-server]
+- [Offline inference](../../serving/offline_inference.md)
+- Online serving via [OpenAI-Compatible Server](../../serving/openai_compatible_server.md)
 - HPU autodetection - no need to manually select device within vLLM
 - Paged KV cache with algorithms enabled for Intel Gaudi accelerators
 - Custom Intel Gaudi implementations of Paged Attention, KV cache ops,

docs/getting_started/quickstart.md

@@ -1,7 +1,6 @@
 ---
 title: Quickstart
 ---
-[](){ #quickstart }
 
 This guide will help you quickly get started with vLLM to perform:
 
@@ -43,7 +42,7 @@ uv pip install vllm --torch-backend=auto
 ```
 
 !!! note
-    For more detail and non-CUDA platforms, please refer [here][installation-index] for specific instructions on how to install vLLM.
+    For more detail and non-CUDA platforms, please refer [here](installation/README.md) for specific instructions on how to install vLLM.
 
 [](){ #quickstart-offline }
 
@@ -77,7 +76,7 @@ prompts = [
 sampling_params = SamplingParams(temperature=0.8, top_p=0.95)
 ```
 
-The [LLM][vllm.LLM] class initializes vLLM's engine and the [OPT-125M model](https://arxiv.org/abs/2205.01068) for offline inference. The list of supported models can be found [here][supported-models].
+The [LLM][vllm.LLM] class initializes vLLM's engine and the [OPT-125M model](https://arxiv.org/abs/2205.01068) for offline inference. The list of supported models can be found [here](../models/supported_models.md).
 
 ```python
 llm = LLM(model="facebook/opt-125m")