Update vLLM version to 0.16.0 in quickstart and CUDA installation documentation, and adjust parameters in multimodal generation script for improved performance. Refactor request logging in serving_chat.py for better input tracking.
Signed-off-by: tzhouam <tzhouam@connect.ust.hk>
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@@ -20,7 +20,7 @@ Therefore, it is recommended to install vLLM and vLLM-Omni with a **fresh new**
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vLLM-Omni is built based on vLLM. Please install it with command below.
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```bash
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uv pip install vllm==0.15.0 --torch-backend=auto
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uv pip install vllm==0.16.0 --torch-backend=auto
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```
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#### Installation of vLLM-Omni
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@@ -34,10 +34,10 @@ uv pip install vllm-omni
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# --8<-- [start:build-wheel-from-source]
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#### Installation of vLLM
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If you do not need to modify source code of vLLM, you can directly install the stable 0.15.0 release version of the library
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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
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```bash
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uv pip install vllm==0.15.0 --torch-backend=auto
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uv pip install vllm==0.16.0 --torch-backend=auto
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```
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The release 0.14.0 of vLLM is based on PyTorch 2.9.0 which requires CUDA 12.9 environment.
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@@ -56,11 +56,11 @@ If you want to check, modify or debug with source code of vLLM, install the libr
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```bash
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git clone https://github.com/vllm-project/vllm.git
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cd vllm
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git checkout v0.15.0
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git checkout v0.16.0
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```
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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.
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```bash
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export VLLM_PRECOMPILED_WHEEL_LOCATION=https://github.com/vllm-project/vllm/releases/download/v0.15.0/vllm-0.15.0-cp38-abi3-manylinux_2_31_x86_64.whl
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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
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```
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Install vllm with command below (If you have no existing PyTorch).
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```bash
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