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When return_mm_kwargs is false, use exact processor metadata so families whose prompt updates already ignore processed kwargs skip HF tensor construction, and fail closed to full apply otherwise. Co-authored-by: Cursor <cursoragent@cursor.com> Signed-off-by: Guy Girmonsky <guygir@gmail.com>
Qwen prompt updates read image_grid_thw from processed tensors, so the generic /render path cannot skip HF construction until ProcessingInfo owns the exact image token counts. Co-authored-by: Cursor <cursoragent@cursor.com> Signed-off-by: Guy Girmonsky <guygir@gmail.com>
These processors read grid or pad-free types from processed tensors, so they need the same opt-in image path as Qwen before /render can skip HF construction. Co-authored-by: Cursor <cursoragent@cursor.com> Signed-off-by: Guy Girmonsky <guygir@gmail.com>
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Documentation preview: https://vllm--61418.org.readthedocs.build/en/61418/ |
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Overview
Add exact image routing-metadata adapters for
GLM-5.3-Flash (
zai-org/GLM-5.3-Flash) and DeepSeek V4/V4.1 so/rendercan skip vision-tower inputs.
Claims
full processing exactly.
/renderon the mixedtext+image+text+image+textprompt (840 tokens), unique media,return_mm_kwargs=false:Live GLM
vllm launch renderwas not started; see Details.Validation
CI: multimodal processor shard. DeepSeek GPU generate / KV hits were not
measured: NVIDIA sparse-MLA requires compute capability 9/10, and the
available cluster has A100/L40S.
Details
These processors currently derive image replacements from processed tensors
or layout types. The adapters compute the same geometry from source
dimensions. DeepSeek V4 and V4.1 keep separate preprocess modules because
their existing image math already lives in those files.
The DeepSeek CPU placeholder is registered as multimodal so a CPU render
process can build routing metadata. Instantiating that placeholder for
generation remains unsupported.
GLM-5.3-Flash
vllm launch rendercurrently fails while constructingVllmConfig: encoder-only/CPU launch disables prefix caching after thehybrid-Mamba hook sets
mamba_block_size. That is an existing config-orderissue, not introduced here. GPU
vllm serveis a separate path.AI assistance was used. A human submitter reviewed the diff.
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.