ARahim3/mlx-dspark
Up to 4× faster LLM decoding on Apple Silicon, lossless. Native MLX port of DeepSeek's DSpark & z-lab's DFlash speculative decoding — Gemma-4, Qwen3.8, Muse-Glimmer, Nemotron, LFM2.5, Ornith-1.0, tern
- Stars
- 721
- Forks
- 64
- Open issues
- 18
- Last push
- 17d ago
About mlx-dspark
mlx-dspark is a free, open-source LLM chat app by ARahim3, written mainly in Python. Up to 4× faster LLM decoding on Apple Silicon, lossless. Native MLX port of DeepSeek's DSpark & z-lab's DFlash speculative decoding — Gemma-4, Qwen3.8, Muse-Glimmer, Nemotron, LFM2.5, Ornith-1.0, tern. It has 721 GitHub stars and 64 forks, and was last updated 17d ago. It's released under the MIT license, a standard open-source license. According to the project, it works on macOS.
- License
- MIT
- Language
- Python
- Stars
- 721
- Last update
- 17d ago
- Runs on Mac
- Yes (as stated by the project)
- GPU
- Not stated
- Paid API key
- Not required
- Self-hostable
- Not stated
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mlx-dspark FAQ
Is mlx-dspark free?
Yes. mlx-dspark is open source and free to use. It's released under the MIT license, a standard open-source license.
Does mlx-dspark run on a Mac?
Yes. According to the project, mlx-dspark works on macOS.
Does mlx-dspark need a GPU?
The project doesn't state hardware needs. AI models generally run much faster with a GPU.
Is mlx-dspark still maintained?
Yes. It was last updated 17d ago and has 18 open issues on GitHub.
What are alternatives to mlx-dspark?
Similar free, open-source tools include omlx, rtk, llamafile, MTPLX.