[Doc][BugFix] Update setup instructions and reference links (#191)

1. Replaced the non-working setup instruction with the correct command.
2. Fixed broken links and updated references in documentation.

README_GAUDI.md

@@ -62,16 +62,16 @@ following:
 $ git clone https://github.com/HabanaAI/vllm-fork.git
 $ cd vllm-fork
 $ git checkout habana_main
-$ python setup.py develop
+$ pip install -e .
 ```
 
 Supported Features
 ==================
 
 - [Offline batched
- inference](https://docs.vllm.ai/en/latest/getting_started/quickstart.html#offline-batched-inference)
+ inference](https://github.com/HabanaAI/vllm-fork/blob/habana_main/docs/source/getting_started/quickstart.rst#offline-batched-inference)
 - Online inference via [OpenAI-Compatible
- Server](https://docs.vllm.ai/en/latest/getting_started/quickstart.html#openai-compatible-server)
+ Server](https://github.com/HabanaAI/vllm-fork/blob/habana_main/docs/source/getting_started/quickstart.rst#openai-compatible-server)
 - 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/source/getting_started/gaudi-installation.rst

@@ -30,7 +30,7 @@ To verify that the Intel Gaudi software was correctly installed, run:
  $ pip list | grep neural # verify that neural_compressor is installed
 
 Refer to `Intel Gaudi Software Stack
-Verification <https://docs.habana.ai/en/latest/Installation_Guide/SW_Verification.html#platform-upgrade>`__
+Verification <https://docs.habana.ai/en/latest/Installation_Guide/Platform_Upgrade_and_Unboxing.html#system-verifications-and-final-tests>`__
 for more details.
 
 Run Docker Image
@@ -51,32 +51,23 @@ Use the following commands to run a Docker image:
 Build and Install vLLM
 ---------------------------
 
-To build and install vLLM from source, run:
-
-.. code:: console
-
- $ git clone https://github.com/vllm-project/vllm.git
- $ cd vllm
- $ python setup.py develop
-
-
 Currently, the latest features and performance optimizations are developed in Gaudi's `vLLM-fork <https://github.com/HabanaAI/vllm-fork>`__ and we periodically upstream them to vLLM main repo. To install latest `HabanaAI/vLLM-fork <https://github.com/HabanaAI/vllm-fork>`__, run the following:
 
 .. code:: console
 
  $ git clone https://github.com/HabanaAI/vllm-fork.git
  $ cd vllm-fork
  $ git checkout habana_main
- $ python setup.py develop
+ $ pip install -e .
 
 
 Supported Features
 ==================
 
 - `Offline batched
- inference <https://docs.vllm.ai/en/latest/getting_started/quickstart.html#offline-batched-inference>`__
+ inference <https://github.com/HabanaAI/vllm-fork/blob/habana_main/docs/source/getting_started/quickstart.rst#offline-batched-inference>`__
 - Online inference via `OpenAI-Compatible
- Server <https://docs.vllm.ai/en/latest/getting_started/quickstart.html#openai-compatible-server>`__
+ Server <https://github.com/HabanaAI/vllm-fork/blob/habana_main/docs/source/getting_started/quickstart.rst#openai-compatible-server>`__
 - 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/source/getting_started/quickstart.rst

@@ -9,7 +9,7 @@ This guide shows how to use vLLM to:
 * build an API server for a large language model;
 * start an OpenAI-compatible API server.
 
-Be sure to complete the :ref:`installation instructions <installation>` before continuing with this guide.
+Be sure to complete the `Gaudi installation instructions <https://github.com/HabanaAI/vllm-fork/blob/habana_main/docs/source/getting_started/gaudi-installation.rst#run-docker-image>`_ before continuing with this guide.
 
 .. note::