Add Eagle3 PyTorch inference module and benchmark scripts#54
Merged
Conversation
yghstill
reviewed
Aug 22, 2025
liusong1222
force-pushed
the
dev_spec_training
branch
from
1c21d90 to
8ee3995
Compare
liusong1222
force-pushed
the
dev_spec_training
branch
from
8ee3995 to
763d443
Compare
dawnranger
pushed a commit
to dawnranger/AngelSlim
that referenced
this pull request
Mar 11, 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
2 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Outdated suggestions cannot be applied.This suggestion has been applied or marked resolved.Suggestions cannot be applied from pending reviews.Suggestions cannot be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.
This PR introduces the PyTorch implementation of the Eagle3 inference module along with comprehensive benchmarking scripts to evaluate model performance. The implementation provides an efficient framework for running speculative execution with the Eagle3 model.