update news

Signed-off-by: Roger Wang <hey@rogerw.io>
update version
2026-01-05 20:15:58 -08:00 · 2026-01-05 20:02:53 -08:00
3 changed files with 5 additions and 4 deletions
@@ -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.
 ---
@@ -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.
@@ -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
 ```
Author	SHA1	Message	Date
Roger Wang	d197d1047b	update news Signed-off-by: Roger Wang <hey@rogerw.io>	2026-01-05 20:15:58 -08:00
Roger Wang	971f9e8994	update version Signed-off-by: Roger Wang <hey@rogerw.io>	2026-01-05 20:02:53 -08:00