inclusionAI · First MLX build 15 Sept 2025
Ring-mini-2.0
MLX
Text mit
A 16B parameter text generation model from inclusionAI, with 3 MLX builds, from 4-bit to 8-bit.
- Parameters
- 16B From Hugging Face
- Quantisation
- 4-bit Ring-mini-2.0-4bit
- Memory needed
- 13 GB Estimate, unified memory
- Download
- 9.1 GB Weights, estimated
- Downloads
- 69 This build, last 30 days
- Task
- Text generation Text
- MLX builds
- 3 On mlx-community
- Devices
- Mac Apple silicon
Memory
Will it fit?Needs about 13 GB at 4-bit
8 GB
16 GB
24 GB
32 GB
64 GB
128 GB
Fits with headroomTight, close other appsWon’t fit
Estimated from the size of the weights, plus a fifth for context and working memory and 2 GB for macOS and your apps. Long contexts need more.
Run it
Terminal · mlx-lm$ pip install -U mlx-lm
$ mlx_lm.generate --model mlx-community/Ring-mini-2.0-4bit --prompt "Hello"MLX builds
3 on mlx-community| Ring-mini-2.0-4bit | 4-bit | 9.1 GB | 13 GB | 69 |
|---|---|---|---|---|
| Ring-mini-2.0-6bit | 6-bit | 13.2 GB | 17 GB | 31 |
| Ring-mini-2.0-8bit | 8-bit | 17.3 GB | 22 GB | 36 |
Sizes are estimated from Hugging Face’s parameter counts and the quantisation. Downloads are for the last 30 days.