laya-mlx
laya-mlx: Native MLX runtime for Laya typed decision models — 7–14 ms short decisions on M3 Max. No text generation, PyTorch, or cloud API.. It is ranked #167 on the Stars Radar, in Models & inference. Agentik OS starred it 45 days ago, and it has 7.1k GitHub stars.
Alternatives to laya-mlx
- heretic — Fully automatic censorship removal for language models
- Edge0 — Run 35B MoE models in ~2.5 GB of RAM. Weights stream from SSD; a trained router predicts loads a step ahead. Mac,…
- litellm — The fastest, litest AI Gateway. Rust core with Python SDK. Call 100+ LLM APIs in OpenAI (or native) format with cost…
- Sana — SANA: Efficient High-Resolution Image Synthesis with Linear Diffusion Transformer
- BitNet — Official inference framework for 1-bit LLMs
- PowerInfer — High-speed Large Language Model Serving for Local Deployment
laya-mlx in numbers
- Rank on the Stars Radar: #167 of 314
- 7.1k GitHub stars
- Starred by Agentik OS 45 days ago, last push 8 days ago
- Owner: mizorewww on GitHub
- Market: Models & inference
FAQ
What is laya-mlx?
Native MLX runtime for Laya typed decision models — 7–14 ms short decisions on M3 Max. No text generation, PyTorch, or cloud API. Agentik OS starred it on GitHub 45 days ago; it is ranked #167 on the Stars Radar.
Is laya-mlx free?
It is an open-source repository on GitHub; check its license before use.
Who makes laya-mlx?
The GitHub account mizorewww. The repository has 7.1k GitHub stars.
Every repository Agentik OS stars on GitHub is read and classified by AGK Intelligence: what it is, which market it belongs to, how useful and how mature. 314 repositories, 10 markets. The stars are read every 5 minutes — last update 2026-11-06 13:35 UTC. Full method.