draft vllm-omni recipes

Signed-off-by: hsliuustc0106 <liuhongsheng4@huawei.com>
Signed-off-by: hsliu <liuhongsheng4@huawei.com>

recipes/README.md

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+# Community Recipes
+
+This directory contains community-maintained recipe templates for answering a
+practical user question:
+
+> How do I run model X on hardware Y for task Z?
+
+We suggest organizing recipes by model vendor, aligned with
+[`vllm-project/recipes`](https://github.com/vllm-project/recipes), and using
+one Markdown file per model family by default.
+
+Example layout:
+
+```text
+recipes/
+  Qwen/
+    Qwen3-Omni.md
+    Qwen3-TTS.md
+  Tencent-Hunyuan/
+    HunyuanVideo.md
+```
+
+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.

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
+
+Repeat the same structure for ROCm setups as needed.
+
+## NPU
+
+Repeat the same structure for NPU setups as needed.