Merge pull request #46 from Gaohan123/fix_install_v2

[Bugfix] Further supplement installation guide
This commit is contained in:
Zhou Taichang authored and GitHub committed 2025-10-30 17:25:14 +08:00
commit 6d34a3ed11
3 files changed
+57 -18

No files matched your search

+26 -7
View File
@@ -38,21 +38,41 @@ vLLM-omni is built on a modular architecture that extends vLLM's core functional
## 🛠️ Installation
Set up basic environments
### 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 $container_name -it nvcr.io/nvidia/pytorch:25.01-py3 bash
```
Set up basic uv environment
```bash
pip install uv
uv venv --python 3.12 --seed
source .venv/bin/activate
```
Install certain version of vllm with commitid: 808a7b69df479b6b3a16181711cac7ca28a9b941
```bash
export VLLM_COMMIT=808a7b69df479b6b3a16181711cac7ca28a9b941
uv pip install vllm \
--torch-backend=auto \
--extra-index-url https://wheels.vllm.ai/${VLLM_COMMIT}
git clone https://github.com/vllm-project/vllm.git
cd vllm
git checkout 808a7b69df479b6b3a16181711cac7ca28a9b941
```
Set up environment variables to get pre-built wheels. If there are internet problems, just download the whl file manually. And set VLLM_PRECOMPILED_WHEEL_LOCATION as your local absolute path of whl file.
```bash
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 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
```
@@ -60,8 +80,7 @@ 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
@@ -1,27 +1,50 @@
# Offline Example of vLLM-omni for Qwen2.5-omni
## Installation
## 🛠️ Installation
Set up basic environments
### 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 $container_name -it nvcr.io/nvidia/pytorch:25.01-py3 bash
```
Set up basic uv environment
```bash
pip install uv
uv venv --python 3.12 --seed
source .venv/bin/activate
```
Install certain version of vllm with commitid: 808a7b69df479b6b3a16181711cac7ca28a9b941
```bash
git clone https://github.com/vllm-project/vllm.git
cd vllm
git checkout 808a7b69df479b6b3a16181711cac7ca28a9b941
```
Set up environment variables to get pre-built wheels. If there are internet problems, just download the whl file manually. And set VLLM_PRECOMPILED_WHEEL_LOCATION as your local absolute path of whl file.
```bash
export VLLM_COMMIT=808a7b69df479b6b3a16181711cac7ca28a9b941
uv pip install vllm \
--torch-backend=auto \
--extra-index-url https://wheels.vllm.ai/${VLLM_COMMIT}
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 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
-3
View File
@@ -1,10 +1,8 @@
cloudpickle==3.1.1
flash_attn==2.8.3
msgspec==0.19.0
numpy==2.3.4
omegaconf==2.3.0
pydantic==2.12.3
torch==2.8.0
transformers==4.57.0
typing_extensions==4.15.0
decord==0.6.0
@@ -14,4 +12,3 @@ Pillow==12.0.0
Requests==2.32.5
resampy==0.4.3
soundfile==0.13.1
torchvision==0.23.0