[WIP] OmniConnector for Multimodal Full Disaggregation#79
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natureofnature wants to merge 2 commits intomainfrom
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[WIP] OmniConnector for Multimodal Full Disaggregation#79natureofnature wants to merge 2 commits intomainfrom
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| ReplicateConfig = None | ||
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| def k(rid: str, from_stage: str, to_stage: str) -> str: |
| max_batch_size: 1 | ||
| engine_args: | ||
| model_stage: thinker | ||
| model_arch: Qwen2_5OmniForConditionalGeneration |
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it's better for you to add a new example for disaggregated serving and provide a new yaml under examples folder.
Here the yaml is used for defaults
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…ni connector to omni-llm, rebased with main (twice). ray + mooncake connector work on 2 nodes, but needes several updates\n1.start ray inside vllm-omni \n2.placement group optimize \n3.fix close
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closed, refer to #215 |
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Purpose
Supports full E–P–D–G separation across **same process / same node / cross-node **.
Status
On going, currently added mooncake store based connector based on current multiprocessing queue based communication.
A preliminary and draft version for #62.
Test Plan
Test Result
Essential Elements of an Effective PR Description Checklist
supported_models.mdandexamplesfor a new model.BEFORE SUBMITTING, PLEASE READ https://github.com/vllm-project/vllm-omni/blob/main/CONTRIBUTING.md (anything written below this line will be removed by GitHub Actions)