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ZhuLinsen / LiteMoE

A MoE inference engine you can read in an afternoon.

Why this job: says: inference engine; topics: vllm, inference

One recorded request, step by step: the token going in and out, the top 5 candidates, KV cache growth and expert routing

What it does

Most of the gain comes from removing work that can't affect live requests: per-layer masks, index lookups and output copies in Decode. Whole Decode steps run as a CUDA Graph.

Get started

No single install command. Read the steps in the README (opens in new tab)

Maintenance
Active
Last commit 6 days ago
Stars
29
+19 this week
Licence
Apache-2.0
Allows business use
Downloads for
None listed
No release files
Latest version
None yet
No releases
Built with
Python
99% of the code

Is it looked after?

Contributors
1
Last 90 days
Issues
None
No issues filed
Pull requests
6 merged
0 waiting
Releases
None
Never published
  • No contributing guide
  • No security policy
  • No code of conduct

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More: languages, topics and project record

Languages

  • Python 99%
  • Shell 1%

Topics

  • gpu
  • inference
  • llm
  • mixture-of-experts
  • vllm

Project record

  • JobLocal LLMs
  • StatusNew to our list
  • Commits11
  • Forks2
  • Watching2
  • CreatedNov 1, 2026
  • First seen by usNov 7, 2026
  • CheckedNov 9, 2026

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