arcee-ai · First MLX build 2 Dec 2025
Trinity-Mini
MLX
Text apache-2.0
A 26B parameter text generation model from arcee-ai, with 4 MLX builds, from 4-bit to 8-bit.
- Parameters
- 26B From Hugging Face
- Quantisation
- 4-bit Trinity-Mini-4bit
- Memory needed
- 19 GB Estimate, unified memory
- Download
- 14.7 GB Weights, estimated
- Downloads
- 87 This build, last 30 days
- Task
- Text generation Text
- MLX builds
- 4 On mlx-community
- Devices
- Mac Apple silicon
Memory
Will it fit?Needs about 19 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/Trinity-Mini-4bit --prompt "Hello"MLX builds
4 on mlx-community| Trinity-Mini-4bit | 4-bit | 14.7 GB | 19 GB | 87 |
|---|---|---|---|---|
| Trinity-Mini-5bit | 5-bit | 18.0 GB | 23 GB | 34 |
| Trinity-Mini-6bit | 6-bit | 21.2 GB | 26 GB | 32 |
| Trinity-Mini-8bit | 8-bit | 27.8 GB | 34 GB | 39 |
Sizes are estimated from Hugging Face’s parameter counts and the quantisation. Downloads are for the last 30 days.