From aa5b628b6a98cda2ce2a971cf9d20972e4ac2ed4 Mon Sep 17 00:00:00 2001 From: Roger Wang Date: Mon, 5 Jan 2026 22:34:15 -0800 Subject: [PATCH] [Doc] Update version 0.12.0 (#662) Signed-off-by: Roger Wang --- README.md | 1 + docs/configuration/README.md | 2 +- docs/getting_started/installation/gpu/cuda.inc.md | 6 +++--- 3 files changed, 5 insertions(+), 4 deletions(-) diff --git a/README.md b/README.md index 1f1ccc13c..aac0fe554 100644 --- a/README.md +++ b/README.md @@ -16,6 +16,7 @@ Easy, fast, and cheap omni-modality model serving for everyone *Latest News* 🔥 +- [2026/01] We released [0.12.0rc1](https://github.com/vllm-project/vllm-omni/releases/tag/v0.12.0rc1) - a major RC milestone focused on maturing the diffusion stack, strengthening OpenAI-compatible serving, expanding omni-model coverage, and improving stability across platforms (GPU/NPU/ROCm). - [2025/11] vLLM community officially released [vllm-project/vllm-omni](https://github.com/vllm-project/vllm-omni) in order to support omni-modality models serving. --- diff --git a/docs/configuration/README.md b/docs/configuration/README.md index 173381011..40439d511 100644 --- a/docs/configuration/README.md +++ b/docs/configuration/README.md @@ -2,7 +2,7 @@ This section lists the most common options for running vLLM-Omni. -For options within a vLLM Engine. Please refer to [vLLM Configuration](https://docs.vllm.ai/en/v0.11.0/configuration/index.html) +For options within a vLLM Engine. Please refer to [vLLM Configuration](https://docs.vllm.ai/en/v0.12.0/configuration/index.html) Currently, the main options are maintained by stage configs for each model. diff --git a/docs/getting_started/installation/gpu/cuda.inc.md b/docs/getting_started/installation/gpu/cuda.inc.md index 9f27beab0..540b18529 100644 --- a/docs/getting_started/installation/gpu/cuda.inc.md +++ b/docs/getting_started/installation/gpu/cuda.inc.md @@ -17,12 +17,12 @@ Therefore, it is recommended to install vLLM and vLLM-Omni with a **fresh new** # --8<-- [start:pre-built-wheels] #### Installation of vLLM -Note: Pre-built wheels are currently only available for vLLM-Omni 0.11.0rc1. 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 and 0.12.0rc1. 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). vLLM-Omni is built based on vLLM. Please install it with command below. ```bash -uv pip install vllm==0.11.0 --torch-backend=auto +uv pip install vllm==0.12.0 --torch-backend=auto ``` #### Installation of vLLM-Omni @@ -93,7 +93,7 @@ docker run --runtime nvidia --gpus 2 \ --env "HF_TOKEN=$HF_TOKEN" \ -p 8091:8091 \ --ipc=host \ - vllm/vllm-omni:v0.11.0rc1 \ + vllm/vllm-omni:v0.12.0rc1 \ --model Qwen/Qwen3-Omni-30B-A3B-Instruct --port 8091 ```