diff --git a/docs/getting_started/installation/gpu.md b/docs/getting_started/installation/gpu.md index 508ea307d..57915d5be 100644 --- a/docs/getting_started/installation/gpu.md +++ b/docs/getting_started/installation/gpu.md @@ -30,7 +30,7 @@ vLLM-Omni is a Python library that supports the following GPU variants. The libr ### Pre-built wheels -Note: Pre-built wheels are currently only available for vLLM-Omni 0.11.0rc1, 0.12.0rc1, 0.14.0rc1, 0.14.0, 0.16.0. For the latest version, please [build from source](https://docs.vllm.ai/projects/vllm-omni/en/latest/getting_started/installation/gpu/#build-wheel-from-source). +Note: Pre-built wheels are currently only available for vLLM-Omni 0.11.0rc1, 0.12.0rc1, 0.14.0rc1, 0.14.0, 0.16.0, 0.17.0. For the latest version, please [build from source](https://docs.vllm.ai/projects/vllm-omni/en/latest/getting_started/installation/gpu/#build-wheel-from-source). === "NVIDIA CUDA" diff --git a/docs/getting_started/installation/gpu/cuda.inc.md b/docs/getting_started/installation/gpu/cuda.inc.md index 1e1737e43..378aa9958 100644 --- a/docs/getting_started/installation/gpu/cuda.inc.md +++ b/docs/getting_started/installation/gpu/cuda.inc.md @@ -34,13 +34,13 @@ uv pip install vllm-omni # --8<-- [start:build-wheel-from-source] #### Installation of vLLM -If you do not need to modify source code of vLLM, you can directly install the stable 0.16.0 release version of the library +If you do not need to modify source code of vLLM, you can directly install the stable 0.17.0 release version of the library ```bash -uv pip install vllm==0.16.0 --torch-backend=auto +uv pip install vllm==0.17.0 --torch-backend=auto ``` -The release 0.16.0 of vLLM is based on PyTorch 2.9.0 which requires CUDA 12.9 environment. +The release 0.17.0 of vLLM is based on PyTorch 2.10.0 which requires CUDA 12.9 environment. #### Installation of vLLM-Omni Since vllm-omni is rapidly evolving, it's recommended to install it from source @@ -56,11 +56,11 @@ If you want to check, modify or debug with source code of vLLM, install the libr ```bash git clone https://github.com/vllm-project/vllm.git cd vllm -git checkout v0.16.0 +git checkout v0.17.0 ``` 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_PRECOMPILED_WHEEL_LOCATION=https://github.com/vllm-project/vllm/releases/download/v0.16.0/vllm-0.16.0-cp38-abi3-manylinux_2_31_x86_64.whl +export VLLM_PRECOMPILED_WHEEL_LOCATION=https://github.com/vllm-project/vllm/releases/download/v0.17.0/vllm-0.17.0-cp38-abi3-manylinux_2_31_x86_64.whl ``` Install vllm with command below (If you have no existing PyTorch). ```bash @@ -91,7 +91,7 @@ docker run --runtime nvidia --gpus 2 \ --env "HF_TOKEN=$HF_TOKEN" \ -p 8091:8091 \ --ipc=host \ - vllm/vllm-omni:v0.16.0 \ + vllm/vllm-omni:v0.17.0 \ --model Qwen/Qwen3-Omni-30B-A3B-Instruct --port 8091 ``` diff --git a/docs/getting_started/installation/gpu/rocm.inc.md b/docs/getting_started/installation/gpu/rocm.inc.md index dc280bb94..e0a55834d 100644 --- a/docs/getting_started/installation/gpu/rocm.inc.md +++ b/docs/getting_started/installation/gpu/rocm.inc.md @@ -13,7 +13,7 @@ vLLM-Omni current recommends the steps in under setup through Docker Images. vLLM-Omni is built based on vLLM. Please install it with command below. ```bash -uv pip install vllm==0.16.0+rocm700 --extra-index-url https://wheels.vllm.ai/rocm/0.16.0/rocm700 +uv pip install vllm==0.17.0+rocm700 --extra-index-url https://wheels.vllm.ai/rocm/0.17.0/rocm700 ``` #### Installation of vLLM-Omni @@ -34,13 +34,13 @@ uv pip install onnxruntime-rocm sox # --8<-- [start:build-wheel-from-source] #### Installation of vLLM -If you do not need to modify source code of vLLM, you can directly install the stable 0.16.0 release version of the library +If you do not need to modify source code of vLLM, you can directly install the stable 0.17.0 release version of the library ```bash -uv pip install vllm==0.16.0+rocm700 --extra-index-url https://wheels.vllm.ai/rocm/0.16.0/rocm700 +uv pip install vllm==0.17.0+rocm700 --extra-index-url https://wheels.vllm.ai/rocm/0.17.0/rocm700 ``` -The release 0.16.0 of vLLM requires ROCm 7.0 environment. +The release 0.17.0 of vLLM requires ROCm 7.0 environment. #### Installation of vLLM-Omni Since vllm-omni is rapidly evolving, it's recommended to install it from source @@ -58,7 +58,7 @@ If you want to check, modify or debug with source code of vLLM, install the libr ```bash git clone https://github.com/vllm-project/vllm.git cd vllm -git checkout v0.16.0 +git checkout v0.17.0 python3 -m pip install -r requirements/rocm.txt python3 setup.py develop ``` @@ -130,7 +130,7 @@ docker run --rm \ -v ~/.cache/huggingface:/root/.cache/huggingface \ --env "HF_TOKEN=$HF_TOKEN" \ -p 8091:8091 \ - vllm/vllm-omni-rocm:v0.16.0 \ + vllm/vllm-omni-rocm:v0.17.0 \ --model Qwen/Qwen3-Omni-30B-A3B-Instruct --omni --port 8091 ``` @@ -149,7 +149,7 @@ docker run --rm -it \ -v ~/.cache/huggingface:/root/.cache/huggingface \ --env "HF_TOKEN=$HF_TOKEN" \ --entrypoint bash \ - vllm/vllm-omni-rocm:v0.16.0 + vllm/vllm-omni-rocm:v0.17.0 ``` # --8<-- [end:pre-built-images] diff --git a/docs/getting_started/quickstart.md b/docs/getting_started/quickstart.md index a3eece127..6d8197193 100644 --- a/docs/getting_started/quickstart.md +++ b/docs/getting_started/quickstart.md @@ -19,10 +19,10 @@ uv venv --python 3.12 --seed source .venv/bin/activate # On CUDA -uv pip install vllm==0.16.0 --torch-backend=auto +uv pip install vllm==0.17.0 --torch-backend=auto # On ROCm -uv pip install vllm==0.16.0 --extra-index-url https://wheels.vllm.ai/rocm/0.16.0/rocm700 +uv pip install vllm==0.17.0 --extra-index-url https://wheels.vllm.ai/rocm/0.17.0/rocm700 git clone https://github.com/vllm-project/vllm-omni.git cd vllm-omni