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kacper-daftcode / vLLM-Moet

Frontier MoE models on RTX PRO 6000 / RTX 5090 (sm_120): DeepSeek-V4.1-Flash on 4x RTX PRO 6000, as a GPU+CPU hybrid on 4x RTX 5090, and 2-bit experts on vLLM v0.24.0

Why this job: topics: llm-inference, vllm

What it does

Frontier Mixture-of-Experts models on RTX PRO 6000 and RTX 5090 (sm_120), where the official vLLM images do not run them or the official checkpoints do not fit. The changes are kernel-side patches on official vLLM images, bit-identical to the paths they replace unless a doc says otherwise, each behind a runtime switch.

Get started

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

Maintenance
Active
Last commit yesterday
Stars
570
+4 this week
Licence
Apache-2.0
Allows business use
Downloads for
None listed
No release files
Latest tag
v2026.11.03-r23
Released 6 days ago
Built with
Sass
53% of the code

Is it looked after?

Contributors
1
Last 90 days
Issues
100% closed
0 still open
Pull requests
1 merged
0 waiting
Releases
1
1 in the last year

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More: languages, topics and project record

Languages

  • Sass 53%
  • Python 35%
  • Cuda 8%
  • C++ 2%

Topics

  • blackwell
  • cuda
  • deepseek
  • llm-inference
  • moe
  • rtx-5090
  • rtx-pro-6000
  • sass
  • sm120
  • vllm

Project record

  • JobLocal LLMs
  • StatusListed
  • Commits499
  • Forks49
  • Watching9
  • Stars in 28 days+29
  • CreatedJun 15, 2026
  • First seen by usNov 7, 2026
  • CheckedNov 9, 2026

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