Tutel

Repository facts

Stars

1,028

Forks

111

Open issues and pull requests

55

Primary language

C

License

MIT License (MIT)

Owner

microsoft · Organization

Created

Aug 6, 2021

Last push

Oct 4, 2026

Topics

• deepseek
• llm
• mixture-of-experts
• moe
• pytorch

Rank #6,008 of 9,507 in AI on GitHub, by stars. Data from the GitHub API, fetched Oct 18, 2026; star counts change daily. Stars measure popularity, not quality or safety, and a listing is not an endorsement. How this list is made

Related projects

Projects that share this one’s GitHub topics.

• 43

  Rank 43: vllm-project/vllm

  A high-throughput and memory-efficient inference and serving engine for LLMs

  94,068 starsPythonApache-2.0Last push Oct 18, 2026

• 908

  Rank 908: FareedKhan-dev/kimi-k3-in-c

  A 2.78-trillion-parameter Kimi K3 running inference on a single CPU in 8.24 GB of RAM. Portable C99: no BLAS, no framework, no GPU.

  9,094 starsCApache-2.0Last push Oct 2, 2026

• 5,217

  Rank 5,217: davidmrau/mixture-of-experts

  PyTorch Re-Implementation of "The Sparsely-Gated Mixture-of-Experts Layer" by Noam Shazeer et al. https://arxiv.org/abs/1701.06538

  1,256 starsPythonGPL-3.0Last push Apr 19, 2024

• 6,027

  Rank 6,027: mw00/project-maya

  Project Maya - run GLM-5.3-Flash (321B MoE) privately on your own GPU(s), from one card to 16, NVIDIA or AMD, Linux or Windows. Engine, server, dashboard, OpenAI- and Anthropic-co…

  1,023 starsC++MITLast push Oct 16, 2026

• 6,099

  Rank 6,099: pjlab-sys4nlp/llama-moe

  ⛷️ LLaMA-MoE: Building Mixture-of-Experts from LLaMA with Continual Pre-training (EMNLP 2024)

  1,005 starsPythonApache-2.0Last push Dec 6, 2024

• 8,244

  Rank 8,244: Helldez/BigMoeOnEdge

  Run MoE models bigger than your RAM. Frontier-size MoE on a 12 GB phone, lossless, on stock llama.cpp

  631 starsC++Apache-2.0Last push Oct 18, 2026