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NeelM0906 / Mference

Swift + Metal MoE inference for Apple Silicon: Qwen 3.6 35B at 23.5–29.3 tok/s decode with 2.20× faster long-prompt prefill on a 24 GB M5; Gemma 4 26B in ~2 GB, DeepSeek-V4-Flash 284B, Inkling-Small 276B, native Mac app, CLI, and OpenAI-compatible server.

Why this job: topics: apple-silicon, llm-inference

What it does

A native Swift + Metal runtime for pinned checkpoints, with bounded-memory streaming and measured ports.

Get started

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

Maintenance
Active
Last commit 6 days ago
Stars
122
On GitHub
Licence
Custom
Read before business use
Downloads for
None listed
No release files
Latest version
v0.1.0
Released 50 days ago
Built with
Swift
85% of the code

Is it looked after?

Contributors
Not stated
Last 90 days
Issues
0% closed
1 still open
Pull requests
43 merged
3 waiting
Releases
1
1 in the last year

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More: languages, topics and project record

Languages

  • Swift 85%
  • Metal 8%
  • Python 5%
  • Jinja 1%

Topics

  • apple-silicon
  • deepseek
  • gemma
  • llm-inference
  • macos
  • metal
  • mixture-of-experts
  • qwen
  • swift

Project record

  • JobLocal LLMs
  • StatusListed
  • Commits553
  • Forks18
  • Watching5
  • Stars in 28 days+1
  • CreatedJul 31, 2026
  • First seen by usNov 7, 2026
  • CheckedNov 8, 2026

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