Skip to content

Trinity-Mini-6bit

mlx-community/Trinity-Mini-6bit
6-bit Open on Hugging Face
Parameters
26B
Weights (est.)
≈ 21.2 GB
Mac memory (est.)
32 GB+

Size is estimated from the parameter count and quantisation. Memory allows a fifth extra for context plus 2 GB for the system; long contexts need more.

Run it

With mlx-lm on an Apple silicon Mac:

pip install mlx-lmmlx_lm.generate --model mlx-community/Trinity-Mini-6bit --prompt "Hello"

Details

Base model
arcee-ai/Trinity-Mini (quantized)
Vendor
arcee-ai
Task
Text generation
Quantisation
6-bit
Licence
apache-2.0
Downloads
32 in the last 30 days · 378 all time · 0 likes
Published
2025-12-02 · updated 2025-12-02 (11mo ago)
Languages
en, es, fr, de, it, pt, ru, ar, hi, ko, zh
Tags
afmoe, custom_code

Other MLX builds of arcee-ai/Trinity-Mini

Build Quantisation Weights Mac memory Downloads
Trinity-Mini-4bit 4-bit ≈ 14.7 GB 24 GB+ 84
Trinity-Mini-5bit 5-bit ≈ 18.0 GB 24 GB+ 33
Trinity-Mini-6bit (this one) 6-bit ≈ 21.2 GB 32 GB+ 32
Trinity-Mini-8bit 8-bit ≈ 27.8 GB 48 GB+ 38