MLX Community · First MLX build 28 Aug 2026
gemma-4-26B-A4B-it-OptiQ-4bit
MLX
Text apache-2.0
A 14B parameter text generation model, with one MLX build at 4-bit.
- Parameters
- 14B From Hugging Face
- Quantisation
- 4-bit gemma-4-26B-A4B-it-OptiQ-4bit-REAP-14B
- Memory needed
- 12 GB Estimate, unified memory
- Download
- 8.9 GB Weights, estimated
- Downloads
- 1.4K This build, last 30 days
- Task
- Text generation Text
- MLX builds
- 1 On mlx-community
- Devices
- Mac Apple silicon
Memory
Will it fit?Needs about 12 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/gemma-4-26B-A4B-it-OptiQ-4bit-REAP-14B --prompt "Hello"MLX builds
1 on mlx-community| gemma-4-26B-A4B-it-OptiQ-4bit-REAP-14B | 4-bit | 8.9 GB | 12 GB | 1.4K |
|---|
Sizes are estimated from Hugging Face’s parameter counts and the quantisation. Downloads are for the last 30 days.