receptron/laya
Run Laya, the open-source Jev-compatible System-1 decision model, from Node.js / TypeScript via ONNX Runtime
- Stars
- 982
- Forks
- 81
- Open issues
- 4
- Last push
- 5d ago
About laya
laya is a free, open-source AI inference tool by receptron, written mainly in TypeScript. Run Laya, the open-source Jev-compatible System-1 decision model, from Node.js / TypeScript via ONNX Runtime. It has 982 GitHub stars and 81 forks, and was last updated 5d ago. It's released under the MIT license, a standard open-source license. According to the project, it works on macOS.
- License
- MIT
- Language
- TypeScript
- Stars
- 982
- Last update
- 5d ago
- Runs on Mac
- Yes (as stated by the project)
- GPU
- Not stated
- Paid API key
- Not stated
- Self-hostable
- Yes
Similar free tools
BentoML8.9k stars · The easiest way to serve AI apps and models - Build Model Inference APIs, Job queues, LLM apps, Multi-model pipelines, and more!
DeepSpeed43k stars · DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.
netron34k stars · Visualizer for neural network, deep learning and machine learning models
TensorRT-LLM15k stars · TensorRT LLM provides users with an easy-to-use Python API to define Large Language Models (LLMs) and supports state-of-the-art optimizations to perform inference efficiently on NVIDIA GPUs. TensorRT
vllm95k stars · A high-throughput and memory-efficient inference and serving engine for LLMs
PowerInfer9.8k stars · High-speed Large Language Model Serving for Local Deployment
laya FAQ
Is laya free?
Yes. laya is open source and free to use. It's released under the MIT license, a standard open-source license.
Does laya run on a Mac?
Yes. According to the project, laya works on macOS.
Does laya need a GPU?
The project doesn't state hardware needs. AI models generally run much faster with a GPU.
Is laya still maintained?
Yes. It was last updated 5d ago and has 4 open issues on GitHub.
What are alternatives to laya?
Similar free, open-source tools include BentoML, DeepSpeed, netron, TensorRT-LLM.