Google · First MLX build 15 Jan 2026
translategemma-27b-it
MLX
Text gemma
A 27B parameter text generation model from Google, with 4 MLX builds, from 4-bit to bf16.
- Parameters
- 27B From Hugging Face
- Quantisation
- 4-bit translategemma-27b-it-4bit
- Memory needed
- 19 GB Estimate, unified memory
- Download
- 15.2 GB Weights, estimated
- Downloads
- 705 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/translategemma-27b-it-4bit --prompt "Hello"MLX builds
4 on mlx-community| translategemma-27b-it-4bit | 4-bit | 15.2 GB | 19 GB | 705 |
|---|---|---|---|---|
| translategemma-27b-it-6bit | 6-bit | 21.9 GB | 27 GB | 138 |
| translategemma-27b-it-8bit | 8-bit | 28.7 GB | 35 GB | 369 |
| translategemma-27b-it-bf16 | bf16 | 54.0 GB | 63 GB | 102 |
Sizes are estimated from Hugging Face’s parameter counts and the quantisation. Downloads are for the last 30 days.