From de2cac95e8d9f71fa75e62fa1cd9d7b9a9188987 Mon Sep 17 00:00:00 2001 From: Roger Wang Date: Sun, 1 Feb 2026 00:21:57 -0800 Subject: [PATCH] [Doc] First stable release of vLLM-Omni (#1129) Signed-off-by: Roger Wang --- README.md | 1 + 1 file changed, 1 insertion(+) diff --git a/README.md b/README.md index c4a71f126..e55025126 100644 --- a/README.md +++ b/README.md @@ -15,6 +15,7 @@ Easy, fast, and cheap omni-modality model serving for everyone --- *Latest News* 🔥 +- [2026/02] We released [0.14.0](https://github.com/vllm-project/vllm-omni/releases/tag/v0.14.0) - This is the first **stable release** of vLLM-Omni that expands Omni’s diffusion / image-video generation and audio / TTS stack, improves distributed execution and memory efficiency, and broadens platform/backend coverage (GPU/ROCm/NPU/XPU). It also brings meaningful upgrades to serving APIs, profiling & benchmarking, and overall stability. - [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), please check our latest [design](https://docs.google.com/presentation/d/1qv4qMW1rKAqDREMXiUDLIgqqHQe7TDPj/edit?usp=sharing&ouid=110473603432222024453&rtpof=true&sd=true). - [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.