From 1702033c3e5aa53c1d9ea47e3dd774d3bfb54634 Mon Sep 17 00:00:00 2001 From: Gaohan123 Date: Thu, 30 Oct 2025 17:16:25 +0800 Subject: [PATCH] fix some typos Signed-off-by: Gaohan123 --- README.md | 11 ++++++++--- .../offline_inference/qwen_2_5_omni/README.md | 17 +++++++++++++---- 2 files changed, 21 insertions(+), 7 deletions(-) diff --git a/README.md b/README.md index 712b835f5..7e663c992 100644 --- a/README.md +++ b/README.md @@ -38,6 +38,8 @@ vLLM-omni is built on a modular architecture that extends vLLM's core functional ## 🛠️ Installation +### Installation of vLLM + Use Docker to keep consistent basic environment (Optional, Recommended) ```bash docker run --gpus all --ipc=host --network=host -v $source_dir:$container_dir --rm --name $container_name -it nvcr.io/nvidia/pytorch:25.01-py3 bash @@ -60,12 +62,16 @@ Set up environment variables to get pre-built wheels. If there are internet prob export VLLM_COMMIT=808a7b69df479b6b3a16181711cac7ca28a9b941 export VLLM_PRECOMPILED_WHEEL_LOCATION=https://wheels.vllm.ai/${VLLM_COMMIT}/vllm-1.0.0.dev-cp38-abi3-manylinux1_x86_64.whl ``` -Install vllm with commend below. +Install vllm with command below. ```bash uv pip install --editable . ``` + +### Installation of vLLM-omni Install additional requirements for vllm-omni ```bash +git clone https://github.com/vllm-project/vllm-omni.git +cd vllm_omni uv pip install -r requirements.txt ``` @@ -73,8 +79,7 @@ uv pip install -r requirements.txt Get into the example folder ```bash -cd vllm_omni -cd examples/offline_inference/qwen2_5_omni +cd examples/offline_inference/qwen_2_5_omni ``` Modify PYTHONPATH in run.sh as your path of vllm_omni. Then run. ```bash diff --git a/examples/offline_inference/qwen_2_5_omni/README.md b/examples/offline_inference/qwen_2_5_omni/README.md index 1294c631a..c7c57e283 100644 --- a/examples/offline_inference/qwen_2_5_omni/README.md +++ b/examples/offline_inference/qwen_2_5_omni/README.md @@ -2,6 +2,8 @@ ## 🛠️ Installation +### Installation of vLLM + Use Docker to keep consistent basic environment (Optional, Recommended) ```bash docker run --gpus all --ipc=host --network=host -v $source_dir:$container_dir --rm --name $container_name -it nvcr.io/nvidia/pytorch:25.01-py3 bash @@ -24,17 +26,24 @@ Set up environment variables to get pre-built wheels. If there are internet prob export VLLM_COMMIT=808a7b69df479b6b3a16181711cac7ca28a9b941 export VLLM_PRECOMPILED_WHEEL_LOCATION=https://wheels.vllm.ai/${VLLM_COMMIT}/vllm-1.0.0.dev-cp38-abi3-manylinux1_x86_64.whl ``` -Install vllm with commend below. +Install vllm with command below. ```bash uv pip install --editable . ``` -## Run examples +### Installation of vLLM-omni +Install additional requirements for vllm-omni +```bash +git clone https://github.com/vllm-project/vllm-omni.git +cd vllm_omni +uv pip install -r requirements.txt +``` + +## Run examples (Qwen2.5-omni) Get into the example folder ```bash -cd vllm_omni -cd examples/offline_inference/qwen2_5_omni +cd examples/offline_inference/qwen_2_5_omni ``` Modify PYTHONPATH in run.sh as your path of vllm_omni. Then run. ```bash