Google · First MLX build 15 Jan 2026
translategemma-4b-it
MLX
Text gemma
A 3.9B parameter text generation model from Google, with 3 MLX builds, from 4-bit to 8-bit.
- Parameters
- 3.9B From Hugging Face
- Quantisation
- 4-bit translategemma-4b-it-4bit
- Memory needed
- 5 GB Estimate, unified memory
- Download
- 2.2 GB Weights, estimated
- Downloads
- 4.3K 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 5 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/translategemma-4b-it-4bit --prompt "Hello"MLX builds
3 on mlx-community| translategemma-4b-it-4bit | 4-bit | 2.2 GB | 5 GB | 4.3K |
|---|---|---|---|---|
| translategemma-4b-it-4bit_immersive-translate | 4-bit | 2.2 GB | 5 GB | 787 |
| translategemma-4b-it-8bit | 8-bit | 4.1 GB | 7 GB | 282 |
Sizes are estimated from Hugging Face’s parameter counts and the quantisation. Downloads are for the last 30 days.