laya-mlx
laya-mlx is 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 #8 on the Stars Radar, in Models & inference, first seen 1 h ago and shared in 1 post (3.7k views).
Alternatives to laya-mlx
- colibri — Run frontier MoE models on hardware you already own — pure C, zero deps, experts streamed from disk. Tiny engine,…
- models.dev — An open-source database of AI models.
- VoxCPM — VoxCPM2: Tokenizer-Free TTS for Multilingual Speech Generation, Creative Voice Design, and True-to-Life Cloning
- parakeet — OpenAI Whisper-compatible ASR server using NVIDIA Parakeet TDT 0.6B (ONNX). Super fast CPU/GPU transcriptions
- whisper.cpp — Port of OpenAI's Whisper model in C/C++
- OmniVoice — High-Quality Voice Cloning TTS for 600+ Languages
laya-mlx in numbers
- Rank on the Stars Radar: #8 of 219
- Shared in 1 post by 1 account: @mizorewww
- 3.7k views on those posts
- First seen 1 h ago, last shared 2 days ago
- Pricing seen by Jev: open source
- 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. It was first shared on X 1 h ago and is ranked #8 on the Stars Radar.
Is laya-mlx free?
It is open source.
Who shared laya-mlx?
1 account on X, including @mizorewww, in 1 post totalling 3.7k views.
Every post is read and classified by Jev (TypeSafe): what it is, which market it belongs to, and whether the link is a real tool. 219 posts from 1 X accounts over the last 365 days, 219 tools, 10 markets. Collected every 5 minutes, fully re-ranked every hour — last update 2026-09-21 23:14 UTC. Full method.