Mirai Labs builds uzu, a Rust LLM engine for Apple devices, with compact Qwen, LFM, and Muse-Glimmer models.

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About Mirai

Mirai Labs builds uzu, a Rust-based LLM engine for Apple Silicon, along with compact models for on-device use. The work covers iPhone, iPad, and Mac, with 4-bit and 8-bit versions of Qwen, LFM, and Muse-Glimmer models. The site describes benchmarks against MLX and llama.cpp.

You can use its models, runtime, and infrastructure to run AI locally on Apple devices. The stack includes local models, an inference engine, quantization, and an application layer focused on Apple device automation. The approach is designed for single-request, latency-sensitive execution with reduced memory use.

It suits developers and teams working in AI infrastructure who build Apple-based apps that need local inference. It is also relevant to those researching on-device execution, quantization, and model-runtime co-design for Apple Silicon.

Key features

  • Rust LLM engine for iPhone, iPad and Mac
  • 4-bit and 8-bit Qwen, LFM and Muse-Glimmer models
  • Local inference designed for batch size = 1
  • Quantization to reduce memory footprint
  • Application layer for Apple device automation
  • Benchmarks against MLX and llama.cpp
Best for: Developers building on-device AI features for iPhone, iPad, and Mac.
Good for
  • Built specifically for Apple Silicon devices
  • Combines models, engine and quantization in one stack
  • Focuses on local execution on the device
Watch out for
  • Limited to Apple devices
  • Not open source

Mirai at a glance

Type
Online tool
Pricing
Not confirmed. Check the site
Platforms
iOS, Web
Open source
Not stated
Language
English
Last checked
Oct 5, 2026 · Online when checked
Listed
Oct 5, 2026

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Mirai FAQ

What is uzu?
uzu is a Rust LLM engine by Mirai Labs for iPhone, iPad and Mac.
Which models does Mirai Labs provide?
It provides 4-bit and 8-bit Qwen, LFM and Muse-Glimmer models for on-device use.
Which devices does Mirai support?
The site focuses on Apple Silicon, including iPhone, iPad and Mac.
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