Pangu-Immortal/MagicWX
Android 17 local LLM prototype with Jetpack Compose and ONNX Runtime for offline AI inference experiments.
- Stars
- 857
- Forks
- 363
- Open issues
- 8
- Last push
- 1mo ago
About MagicWX
MagicWX is a free, open-source AI inference tool by Pangu-Immortal, written mainly in Kotlin. Android 17 local LLM prototype with Jetpack Compose and ONNX Runtime for offline AI inference experiments. It has 857 GitHub stars and 363 forks, and was last updated 1mo ago. It's released under the MIT license, a standard open-source license.
- License
- MIT
- Language
- Kotlin
- Stars
- 857
- Last update
- 1mo ago
- Runs on Mac
- Not stated
- GPU
- Not stated
- Paid API key
- Not required
- Self-hostable
- Not stated
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MagicWX FAQ
Is MagicWX free?
Yes. MagicWX is open source and free to use. It's released under the MIT license, a standard open-source license.
Does MagicWX run on a Mac?
The project doesn't say. Check its installation guide before you start.
Does MagicWX need a GPU?
The project doesn't state hardware needs. AI models generally run much faster with a GPU.
Is MagicWX still maintained?
It was last updated 1mo ago. Check recent issues on GitHub to judge how active it is.
What are alternatives to MagicWX?
Similar free, open-source tools include ai-infra-book, TensorRT-LLM, BentoML, foundry-local.