[CI] Bump num_speculative_tokens to 3 in nightly DeepSeek tests#35882
Merged
robertgshaw2-redhat merged 2 commits intovllm-project:mainfrom Mar 3, 2026
Merged
[CI] Bump num_speculative_tokens to 3 in nightly DeepSeek tests#35882robertgshaw2-redhat merged 2 commits intovllm-project:mainfrom
num_speculative_tokens to 3 in nightly DeepSeek tests#35882robertgshaw2-redhat merged 2 commits intovllm-project:mainfrom
Conversation
MatthewBonanni
added
the
ready
![gemini-code-assist[bot]](https://avatars.githubusercontent.com/in/956858?s=60&v=4){kind=small}
Contributor
There was a problem hiding this comment.
Code Review
This pull request updates the nightly DeepSeek test configurations by increasing num_speculative_tokens from 1 to 3 for the DeepSeek-V3.2 model. This change applies to both data-parallel and tensor-parallel test setups. The goal is to exercise the recently added support for multi-token prediction (MTP) with more than one token in the CI pipeline, thereby enhancing test coverage for this new feature. The changes are straightforward and align with the stated purpose of the pull request.
LucasWilkinson
approved these changes
Mar 3, 2026
Signed-off-by: Matthew Bonanni <mbonanni@redhat.com>
robertgshaw2-redhat
approved these changes
Mar 3, 2026
cmacboyd
added a commit
to cmacboyd/vllm
that referenced
this pull request
Mar 3, 2026
…lm-project#35882) Signed-off-by: Matthew Bonanni <mbonanni@redhat.com> Signed-off-by: cmacboyd <42761774+cmacboyd@users.noreply.github.com>
Copilot AI
pushed a commit
to machov/vllm
that referenced
this pull request
Mar 10, 2026
…lm-project#35882) Signed-off-by: Matthew Bonanni <mbonanni@redhat.com>
avinashsingh77
pushed a commit
to avinashsingh77/vllm
that referenced
this pull request
Mar 12, 2026
…lm-project#35882) Signed-off-by: Matthew Bonanni <mbonanni@redhat.com>
wendyliu235
pushed a commit
to wendyliu235/vllm-public
that referenced
this pull request
Mar 18, 2026
…lm-project#35882) Signed-off-by: Matthew Bonanni <mbonanni@redhat.com>
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
3 participants
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
Now that #34552 has landed, both standard and sparse MLA support MTP > 1. We should exercise this in CI.
Test Plan
LM Eval Large Models (H200) should pass CI
Test Result
TBD
Essential Elements of an Effective PR Description Checklist
supported_models.mdandexamplesfor a new model.