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[Recipe] Add ERNIE-5.5-Flash recipe - #65817
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Signed-off-by: jackyYang6 <jacky6.yang@gmail.com>
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| ERNIE-5.5-Flash thinks before it answers. Start the server with | ||
| `--reasoning-parser ernie5` (the **Reasoning** toggle above); thinking then | ||
| lands in `reasoning_content` and the answer in `content`. Thinking is on by |
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For the advertised Flash reasoning mode, this names a response field that the server does not emit. ChatMessage in vllm/entrypoints/openai/chat_completion/protocol.py:76–88 exposes reasoning, not reasoning_content; docs/features/reasoning_outputs.md:5–9 also explicitly warns that reading the old name can silently lose the reasoning output. Clients implemented from this recipe would therefore read a missing field despite successful reasoning generation. Use reasoning here and in the reasoning feature description.
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✅ Triggered Buildkite CI #100164 for commit ℹ️ This PR is 8 commits behind upstream |
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…mni@02286829737a vllm-project/vllm@main:recipes c5d1d77d2bd5 → c2bc949186b5 [latest.vllm] vllm-project/vllm@c5d1d77...c2bc949 Commits: - vllm-project/vllm@1a983e2eb219 [Recipe] Add ERNIE-5.5-Flash recipe (vllm-project/vllm#65817) Recipes: - baidu/ERNIE-5.5-Flash (added): https://recipes.vllm.ai/baidu/ERNIE-5.5-Flash vllm-project/vllm-omni@main:recipes 3f2085a7048e → 02286829737a [latest.vllm-omni] vllm-project/vllm-omni@3f2085a...0228682 Commits: - vllm-project/vllm-omni@02286829737a [Model] Add Hy-Nomas-Diffusers generation and bounded AR streaming (vllm-project/vllm-omni#9338) - vllm-project/vllm-omni@4e7bdd4de81a [Model] Add Alpamayo 2 Super (vllm-project/vllm-omni#9133) Signed-off-by: github-actions[bot] <41898282+github-actions[bot]@users.noreply.github.com>
Overview
Add a recipe for ERNIE-5.5-Flash (
recipes/models/baidu/ERNIE-5.5-Flash.yaml), served through the out-of-tree vLLM-ERNIE plugin on vLLM 0.32.0. The default variant serves the released ERNIE-5.5-Flash-Base checkpoints (FP8 and BF16); the post-trained ERNIE-5.5-Flash is listed as coming soon.Claims
ernie5) and DSpark for the coming post-trained model.Validation
node scripts/validate-source.mjs --source vllm --dir <this repo>/recipesfrom vllm-project/recipes main passes.Details
default: truewith the same memory budget as the measured ones, so the builder starts from a working configuration on every listed GPU.install.docker: falsehides it on the page (the official image does not include the plugin), and the PD commands leave$PREFILL_DP_RPC_PORT/$DECODE_DP_RPC_PORTunexplained.Pull Request Checklist
I used vLLM's
/pr-checklistskill. (Mandatory for agents, optional for humans).AI assistance was used during the creation of this PR.
Design Fit: Minimizes impact on core components, reuses existing functionality, and justifies added complexity.
Testing and Validation: Validates the change and ensures any added tests are meaningful and reliable, with CI coverage or documented CI resource constraints and validation performed outside CI.
Code Quality and Style: Keeps code and comments clear and concise, and updates relevant documentation and examples.
Pull Request Contents: Includes a brief summary and relevant links, supports claims with evidence, explains root causes and implementation trade-offs, and follows the contributing guide.