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

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
- Built specifically for Apple Silicon devices
- Combines models, engine and quantization in one stack
- Focuses on local execution on the device
- Limited to Apple devices
- Not open source
Mirai at a glance
- Website
- trymirai.com
- 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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