Update xllm integration#4
Open
mylibrar wants to merge 2 commits intov0.12.0-ifmfrom
Open
Conversation
shauryr
reviewed
Apr 26, 2026
This file contains hidden or bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment
Add this suggestion to a batch that can be applied as a single commit.This suggestion is invalid because no changes were made to the code.Suggestions cannot be applied while the pull request is closed.Suggestions cannot be applied while viewing a subset of changes.Only one suggestion per line can be applied in a batch.Add this suggestion to a batch that can be applied as a single commit.Applying suggestions on deleted lines is not supported.You must change the existing code in this line in order to create a valid suggestion.Outdated suggestions cannot be applied.This suggestion has been applied or marked resolved.Suggestions cannot be applied from pending reviews.Suggestions cannot be applied on multi-line comments.Suggestions cannot be applied while the pull request is queued to merge.Suggestion cannot be applied right now. Please check back later.
Purpose
Enable vLLM to load and serve XLLM models, specifically XLLM models with MoE architecture.
This updates the XLLM integration to support the model components needed for MoE inference, including grouped RMSNorm, query/key norm, sparse MoE execution with
FusedMoE, expert weight mapping, shared experts, EP/EPLB metadata, sequence parallel handling, split RoPE head dimensions, and EAGLE3 auxiliary hidden state support.This is needed for the LLM360 K2-V3 workflow documented in
docs/features/k2_v3.md, where an internal K2-V3 instruct checkpoint is served through vLLM with thek2_v3reasoning parser andmulti_formattool-call parser.Test Plan
--tensor-parallel-size 8--reasoning-parser k2_v3--enable-auto-tool-choice--tool-call-parser multi_formatdocs/features/k2_v3.mdagainst the endpoint.Test Result
git diff HEAD^ HEAD --check: passed.vllm/model_executor/models/xllm.pyvllm/model_executor/models/registry.pydocs/features/k2_v3.mdagainst that endpoint.Essential Elements of an Effective PR Description Checklist
supported_models.mdandexamplesfor a new model.BEFORE SUBMITTING, PLEASE READ https://docs.vllm.ai/en/latest/contributing (anything written below this line will be removed by GitHub Actions)