Removing leftovers fork from plugin (#525)

Signed-off-by: PatrykWo <patryk.wolsza@intel.com>

Author: PatrykWo

.cd/Dockerfile.rhel.tenc.pytorch.vllm

@@ -12,7 +12,7 @@ ARG TORCH_TYPE_SUFFIX
 
 FROM ${DOCKER_URL}/${VERSION}/${BASE_NAME}/${REPO_TYPE}/pytorch-${TORCH_TYPE_SUFFIX}installer-${PT_VERSION}:${REVISION}
 
-# Parameterize commit/branch for vllm-fork checkout
+# Parameterize commit/branch for vllm-plugin checkout
 ARG VLLM_GAUDI_COMMIT=main
 # leave empty to use last-good-commit-for-vllm-gaudi
 ARG VLLM_PROJECT_COMMIT=

.cd/README.md

@@ -27,7 +27,7 @@ Supports a wide range of validated models including LLaMa, Mistral, and Qwen fam
 
 ### 0. Clone the Repository
 
-Before proceeding with any of the steps below, make sure to clone the vLLM fork repository and navigate to the `.cd` directory. This ensures you have all necessary files and scripts for running the server or benchmarks.
+Before proceeding with any of the steps below, make sure to clone the vLLM plugin repository and navigate to the `.cd` directory. This ensures you have all necessary files and scripts for running the server or benchmarks.
 
 ```bash
 git clone https://github.com/vllm-project/vllm-gaudi.git

docs/features/compatibility_matrix.md

@@ -7,7 +7,7 @@ title: Compatibility Matrix
 
 The table below detail the configurations and versions supported for Intel® Gaudi® 2 AI accelerator, and Intel® Gaudi® 3 AI accelerator.
 
-| **Intel Gaudi Software**   | **vLLM v0.10.0**   | **vLLM v0.10.1**  | **vLLM v0.10.2**  | **vLLM v0.11.0**  |
-| :---: | :---: | :---: | :---: | :---: |
-| 1.22.1      | ✅ alfa    | ✅ beta    |  ❌    |  ❌    |
-| 1.23.0      | ❌    | ❌    | ✅    |  in development    |
+| **Intel Gaudi Software**   | **vLLM v0.10.0**   | **vLLM v0.10.1**  | **vLLM v0.10.2**  | **vLLM v0.11.0**  | **vLLM v0.11.1**  |
+| :---: | :---: | :---: | :---: | :---: | :---: |
+| 1.22.1      | ✅ alfa    | ✅ beta    |  ❌    |  ❌    |  ❌    |
+| 1.23.0      | ❌    | ❌    | ✅    |  RC    | in development    |

docs/getting_started/quickstart.md

@@ -36,7 +36,7 @@ Guide](https://docs.habana.ai/en/latest/Installation_Guide/index.html) instructi
 
 Follow these steps to run the vLLM server or launch benchmarks on Gaudi using Docker Compose.
 
-1. Clone the vLLM fork repository to get the required files and Docker Compose configurations.
+1. Clone the vLLM plugin repository to get the required files and Docker Compose configurations.
 
     ```bash
     git clone https://github.com/vllm-project/vllm-gaudi.git

docs/user_guide/faq.md

@@ -61,11 +61,9 @@ For more details, see [Quick Start Using Dockerfile](../getting_started/quicksta
 
 - There are two different installation methods:
 
-- (Recommended) Install the stable version from the HabanaAIvLLM-fork GitHub repo. This version is most suitable for production deployments.
+- (Recommended) Running vLLM Hardware Plugin for Intel® Gaudi® Using Dockerfile. This version is most suitable for production deployments.
 
-- Install the latest version from the HabanaAI/vLLM-fork GitHub repo. This version is suitable for developers who would like to work on experimental code and new features that are still being tested.
-
-- Install from the main vLLM source GitHub repo. This version is suitable for developers who would like to work with the official vLLM-project but may not have the latest Intel Gaudi features.
+- Building vLLM Hardware Plugin for Intel® Gaudi® from Source. This version is suitable for developers who would like to work on experimental code and new features that are still being tested.
 
 ## Examples and Model Support
 
@@ -77,7 +75,7 @@ For more details, see [Quick Start Using Dockerfile](../getting_started/quicksta
 
 - Different tensor parallelism configurations (single HPU, 2x, and 8x HPU).
 
-- See [Supported Configurations](https://github.com/HabanaAI/vllm-fork/blob/v1.22.1/README_GAUDI.md#supported-configurations) for more details.
+- See [Validated Models](../models/validated_models.md) for more details.
 
 ## Features and Support