After the recent eugr/spark-vllm-docker update, vLLM became stricter about multimodal token budgets:
ValueError: Chunked MM input disabled but max_tokens_per_mm_item (2496) is
larger than max_num_batched_tokens (2048). Please increase max_num_batched_tokens.
Each image input produces 2496 tokens, but vLLM's default --max-num-batched-tokens of 2048 is just under. Same class of bug as the Qwen3.6 Mamba block-size assertion we fixed in 0.6.0:1, surfacing on different models.
Fix: bake --max-num-batched-tokens=16384 into every multimodal model entry. Now applied to:
- qwen36 (already had it for the Mamba constraint; works for multimodal too since Qwen3.6 has vision)
- gemma4 (crashed today on engine init)
- qwen3-vl (would crash with the same error if anyone tried it)
The pre-flight Test button validates argparse but the 2048<2496 check happens at runtime engine init, so it's not caught by Test — only by actually trying to load. This is exactly the kind of bug v0.7's Test catches the *syntax* of but not the *semantics*; runtime errors like this still surface only on real swap. Known limitation documented in v0.7 release notes.
Grant
8ac455f5f5
