Skip to content

Ouro-2.6B-4bit

mlx-community/Ouro-2.6B-4bit
4-bit Open on Hugging Face
Parameters
2.7B
Weights (est.)
≈ 1.5 GB
Mac memory (est.)
8 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/Ouro-2.6B-4bit --prompt "Hello"

Details

Base model
ByteDance/Ouro-2.6B (quantized)
Vendor
ByteDance
Task
Text generation
Quantisation
4-bit
Licence
apache-2.0
Downloads
39 in the last 30 days · 541 all time · 0 likes
Published
2025-11-09 · updated 2025-11-09 (1y ago)
Tags
ouro, looped-language-model, reasoning, recurrent-depth, custom_code