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[Doc] JoyVL recipe: describe model as retrained Qwen3-VL, not vanilla - #4622
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The JoyAI-VL-Interaction preview keeps the Qwen3-VL architecture but its weights are retrained for streaming interaction. Reword the recipe so it no longer markets the model as "vanilla Qwen3-VL weights", aligning with the JD authors' positioning; the operational "serve it as a standard Qwen3-VL VLM (no --omni)" guidance is preserved. Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com> Signed-off-by: lishunyang12 <125541396+lishunyang12@users.noreply.github.com>
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Folded into #4623 — the single consolidated PR with this recipe wording plus the engine unification, api-server mount + streaming WebSocket, and staged async_chunk TTS. |
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Purpose
Follow-up to #4575. The
JoyAI-VL-Interaction-Previewcheckpoint keeps the Qwen3-VL architecture but its weights are retrained for streaming interaction. The recipe previously described it as "vanilla Qwen3-VL weights" / "standard Qwen3-VL", which mis-states the model on the marketing axis. This reword aligns with the JD authors' positioning (see jd-opensource/JoyAI-VL-Interaction).Changes
recipes/JD/JoyAI-VL-Interaction.mdonly:(8B, Qwen3-VL architecture with weights retrained for streaming interaction)The operational guidance is unchanged: it is still served by a plain
vllm serve(no--omni) because the architecture is Qwen3-VL.Test
Docs-only; no code paths touched.
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