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+# Qwen3-Omni for multimodal chat on 1x A100 80GB
+
+## Summary
+
+- Vendor: Qwen
+- Model: `Qwen/Qwen3-Omni-30B-A3B-Instruct`
+- Task: Multimodal chat with text, image, audio, or video input
+- Mode: Online serving with the OpenAI-compatible API
+- Maintainer: Community
+
+## When to use this recipe
+
+Use this recipe when you want a known-good starting point for serving
+`Qwen/Qwen3-Omni-30B-A3B-Instruct` with vLLM-Omni on a single 80 GB A100 and
+validate the deployment with the existing multimodal client examples in this
+repository.
+
+## References
+
+- Upstream or canonical docs:
+  [`docs/user_guide/examples/online_serving/qwen3_omni.md`](../../docs/user_guide/examples/online_serving/qwen3_omni.md)
+- Related example under `examples/`:
+  [`examples/online_serving/qwen3_omni/README.md`](../../examples/online_serving/qwen3_omni/README.md)
+- Related issue or discussion:
+  [RFC: add recipes folder](https://github.com/vllm-project/vllm-omni/issues/2645)
+
+## Hardware Support
+
+This recipe currently documents one tested-style reference configuration for
+CUDA GPU serving. Add more sections for other hardware as community validation
+lands.
+
+## GPU
+
+### 1x A100 80GB
+
+#### Environment
+
+- OS: Linux
+- Python: 3.10+
+- Driver / runtime: NVIDIA CUDA environment with an A100 80 GB GPU
+- vLLM version: Match the repository requirements for your checkout
+- vLLM-Omni version or commit: Use the commit you are deploying from
+
+#### Command
+
+Start the server from the repository root:
+
+```bash
+vllm serve Qwen/Qwen3-Omni-30B-A3B-Instruct --omni --port 8091
+```
+
+To enable async chunking, use the bundled stage config:
+
+```bash
+vllm serve Qwen/Qwen3-Omni-30B-A3B-Instruct \
+  --omni \
+  --port 8091 \
+  --stage-configs-path vllm_omni/model_executor/stage_configs/qwen3_omni_moe_async_chunk.yaml
+```
+
+#### Verification
+
+Run one of the existing example clients after the server is ready:
+
+```bash
+python examples/online_serving/openai_chat_completion_client_for_multimodal_generation.py \
+  --model Qwen/Qwen3-Omni-30B-A3B-Instruct \
+  --query-type use_image \
+  --port 8091 \
+  --host localhost
+```
+
+For a quick API smoke test, request text-only output:
+
+```bash
+curl http://localhost:8091/v1/chat/completions \
+  -H "Content-Type: application/json" \
+  -d '{
+    "model": "Qwen/Qwen3-Omni-30B-A3B-Instruct",
+    "messages": [{"role": "user", "content": "Describe vLLM in brief."}],
+    "modalities": ["text"]
+  }'
+```
+
+#### Notes
+
+- Memory usage: Size depends on runtime options and output modalities; leave headroom for multimodal workloads.
+- Key flags: `--omni` is required; `--stage-configs-path` is optional for custom or async-chunk stage configs.
+- Known limitations: This starter recipe is intentionally narrow and focuses on the single-GPU online-serving path already documented in the repo examples.
diff --git a/recipes/README.md b/recipes/README.md
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+# Community Recipes
+
+This directory contains community-maintained recipes for answering a
+practical user question:
+
+> How do I run model X on hardware Y for task Z?
+
+Add recipes for this repository under this in-repo `recipes/` directory. To
+keep naming and layout consistent, organize recipes by model vendor in a way
+that is aligned with
+[`vllm-project/recipes`](https://github.com/vllm-project/recipes), but treat
+that external repository as a reference for structure rather than the place to
+add files for this repo. Use one Markdown file per model family by default.
+
+Example layout:
+
+```text
+recipes/
+  Qwen/
+    Qwen3-Omni.md
+    Qwen3-TTS.md
+  Tencent-Hunyuan/
+    HunyuanVideo.md
+```
+
+## Available Recipes
+
+- [`Qwen/Qwen3-Omni.md`](./Qwen/Qwen3-Omni.md): online serving recipe for
+  multimodal chat on `1x A100 80GB`
+
+Within a single recipe file, include different hardware support sections such
+as `GPU`, `ROCm`, and `NPU`, and add concrete tested configurations like
+`1x A100 80GB` or `2x L40S` inside those sections when applicable.
+
+See [TEMPLATE.md](./TEMPLATE.md) for the recommended format.
diff --git a/recipes/TEMPLATE.md b/recipes/TEMPLATE.md
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+# Recipe Title
+
+> Example: Qwen3-Omni for speech chat on 1x A100 80GB
+
+## Summary
+
+- Vendor:
+- Model:
+- Task:
+- Mode:
+- Maintainer:
+
+## When to use this recipe
+
+Briefly describe the concrete scenario this recipe covers.
+
+## References
+
+- Upstream or canonical docs:
+- Related example under `examples/`:
+- Related issue or discussion:
+
+## Hardware Support
+
+Add one section per platform, such as `GPU`, `ROCm`, or `NPU`. Under each
+platform section, document one or more tested hardware configurations.
+
+## GPU
+
+### 1x A100 80GB
+
+#### Environment
+
+- OS:
+- Python:
+- Driver / runtime:
+- vLLM version:
+- vLLM-Omni version or commit:
+
+#### Command
+
+```bash
+# Add the exact command(s) here
+```
+
+#### Verification
+
+```bash
+# Add a quick validation command or expected output here
+```
+
+#### Notes
+
+- Memory usage:
+- Key flags:
+- Known limitations:
+
+### 2x L40S
+
+Repeat the same structure for other hardware setups as needed.
+
+## ROCm
+
+### Example hardware configuration
+
+Repeat the same nested structure for ROCm setups as needed:
+
+- `#### Environment`
+- `#### Command`
+- `#### Verification`
+- `#### Notes`
+
+## NPU
+
+### Example hardware configuration
+
+Repeat the same nested structure for NPU setups as needed:
+
+- `#### Environment`
+- `#### Command`
+- `#### Verification`
+- `#### Notes`