Stop using title frontmatter and fix doc that can only be reached by search (#20623)

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

docs/.nav.yml

@@ -55,6 +55,7 @@ nav:
       - contributing/model/registration.md
       - contributing/model/tests.md
       - contributing/model/multimodal.md
+    - CI: contributing/ci
     - Design Documents:
       - V0: design
       - V1: design/v1

docs/community/contact_us.md

----
-title: Contact Us
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+# Contact Us
 
 --8<-- "README.md:contact-us"

docs/community/meetups.md

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-title: Meetups
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+# Meetups
 
 We host regular meetups in San Francisco Bay Area every 2 months. We will share the project updates from the vLLM team and have guest speakers from the industry to share their experience and insights. Please find the materials of our previous meetups below:
 

docs/configuration/engine_args.md

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-title: Engine Arguments
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+# Engine Arguments
 
 Engine arguments control the behavior of the vLLM engine.
 

docs/configuration/serve_args.md

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-title: Server Arguments
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+# Server Arguments
 
 The `vllm serve` command is used to launch the OpenAI-compatible server.
 

docs/contributing/benchmarks.md

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-title: Benchmark Suites
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+# Benchmark Suites
 
 vLLM contains two sets of benchmarks:
 

docs/ci/update_pytorch_version.md → docs/contributing/ci/update_pytorch_version.md

----
-title: Update PyTorch version on vLLM OSS CI/CD
----
+# Update PyTorch version on vLLM OSS CI/CD
 
 vLLM's current policy is to always use the latest PyTorch stable
 release in CI/CD. It is standard practice to submit a PR to update the

docs/contributing/model/README.md

----
-title: Summary
----
+# Summary
 
 !!! important
     Many decoder language models can now be automatically loaded using the [Transformers backend][transformers-backend] without having to implement them in vLLM. See if `vllm serve <model>` works first!

docs/contributing/model/basic.md

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-title: Basic Model
----
+# Basic Model
 
 This guide walks you through the steps to implement a basic vLLM model.
 

docs/contributing/model/multimodal.md

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-title: Multi-Modal Support
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+# Multi-Modal Support
 
 This document walks you through the steps to extend a basic model so that it accepts [multi-modal inputs](../../features/multimodal_inputs.md).
 

docs/contributing/model/registration.md

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-title: Registering a Model
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+# Registering a Model
 
 vLLM relies on a model registry to determine how to run each model.
 A list of pre-registered architectures can be found [here](../../models/supported_models.md).

docs/contributing/model/tests.md

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-title: Unit Testing
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+# Unit Testing
 
 This page explains how to write unit tests to verify the implementation of your model.
 

docs/deployment/docker.md

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-title: Using Docker
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+# Using Docker
 
 [](){ #deployment-docker-pre-built-image }
 

docs/deployment/frameworks/anyscale.md

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-title: Anyscale
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+# Anyscale
+
 [](){ #deployment-anyscale }
 
 [Anyscale](https://www.anyscale.com) is a managed, multi-cloud platform developed by the creators of Ray.

docs/deployment/frameworks/anything-llm.md

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-title: Anything LLM
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+# Anything LLM
 
 [Anything LLM](https://github.com/Mintplex-Labs/anything-llm) is a full-stack application that enables you to turn any document, resource, or piece of content into context that any LLM can use as references during chatting.
 

docs/deployment/frameworks/autogen.md

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-title: AutoGen
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+# AutoGen
 
 [AutoGen](https://github.com/microsoft/autogen) is a framework for creating multi-agent AI applications that can act autonomously or work alongside humans.
 

docs/deployment/frameworks/bentoml.md

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-title: BentoML
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+# BentoML
 
 [BentoML](https://github.com/bentoml/BentoML) allows you to deploy a large language model (LLM) server with vLLM as the backend, which exposes OpenAI-compatible endpoints. You can serve the model locally or containerize it as an OCI-compliant image and deploy it on Kubernetes.
 

docs/deployment/frameworks/cerebrium.md

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-title: Cerebrium
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+# Cerebrium
 
 <p align="center">
     <img src="https://i.ibb.co/hHcScTT/Screenshot-2024-06-13-at-10-14-54.png" alt="vLLM_plus_cerebrium"/>

docs/deployment/frameworks/chatbox.md

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-title: Chatbox
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+# Chatbox
 
 [Chatbox](https://github.com/chatboxai/chatbox) is a desktop client for LLMs, available on Windows, Mac, Linux.