[Rebase] Rebase to vllm 0.20.0 (#3232)
Signed-off-by: tzhouam <tzhouam@connect.ust.hk> Signed-off-by: Zhou Taichang <tzhouam@connect.ust.hk> Signed-off-by: Yuanheng Zhao <jonathan.zhaoyh@gmail.com> Co-authored-by: Yuanheng Zhao <54058983+yuanheng-zhao@users.noreply.github.com>
This commit is contained in:
1 parent
dd0fa02547
commit
7f2b1e9386
70 files changed
+1191
-273
No files matched your search
@@ -39,13 +39,13 @@ uv pip install 'vllm-omni[demo]'
|
||||
# --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 0.19.0 release version of the library
|
||||
If you do not need to modify source code of vLLM, you can directly install the stable 0.20.0 release version of the library
|
||||
|
||||
```bash
|
||||
uv pip install vllm==0.19.0 --torch-backend=auto
|
||||
uv pip install vllm==0.20.0 --torch-backend=auto
|
||||
```
|
||||
|
||||
The 0.19.0 release of vLLM ships CUDA 13.0-compatible binaries by default. If you need a different CUDA variant or want to reuse an existing PyTorch installation, build vLLM from source instead.
|
||||
The 0.20.0 release of vLLM ships CUDA 13.0-compatible binaries by default. If you need a different CUDA variant or want to reuse an existing PyTorch installation, build vLLM from source instead.
|
||||
|
||||
#### Installation of vLLM-Omni
|
||||
Since vllm-omni is rapidly evolving, it's recommended to install it from source
|
||||
@@ -66,12 +66,12 @@ 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 v0.19.0
|
||||
git checkout v0.20.0
|
||||
```
|
||||
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
|
||||
#For CUDA 13.0
|
||||
export VLLM_PRECOMPILED_WHEEL_LOCATION=https://github.com/vllm-project/vllm/releases/download/v0.19.0/vllm-0.19.0+cu130-cp38-abi3-manylinux_2_35_x86_64.whl
|
||||
#For CUDA 13.0 (the default for v0.20.0; the wheel filename has no `+cu130` suffix)
|
||||
export VLLM_PRECOMPILED_WHEEL_LOCATION=https://github.com/vllm-project/vllm/releases/download/v0.20.0/vllm-0.20.0-cp38-abi3-manylinux_2_35_x86_64.whl
|
||||
```
|
||||
Install vllm with command below (If you have no existing PyTorch).
|
||||
```bash
|
||||
@@ -80,7 +80,7 @@ uv pip install --editable .
|
||||
Install vllm with command below (If you already have PyTorch).
|
||||
```bash
|
||||
python use_existing_torch.py
|
||||
uv pip install -r requirements/build.txt
|
||||
uv pip install -r requirements/build/cuda.txt
|
||||
uv pip install --no-build-isolation --editable .
|
||||
```
|
||||
</details>
|
||||
|
||||
Reference in new issue
Block a user