Google · First MLX build 15 Apr 2025
gemma-3-27b-it
MLX
Text gemma
A 28B parameter text generation model from Google, with 2 MLX builds, from 4-bit DWQ to bf16.
- Parameters
- 28B From Hugging Face
- Quantisation
- 4-bit DWQ gemma-3-27b-it-4bit-DWQ
- Memory needed
- 20 GB Estimate, unified memory
- Download
- 16.0 GB Weights, estimated
- Downloads
- 54 This build, last 30 days
- Task
- Text generation Text
- MLX builds
- 2 On mlx-community
- Devices
- Mac Apple silicon
Memory
Will it fit?Needs about 20 GB at 4-bit DWQ
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-3-27b-it-4bit-DWQ --prompt "Hello"MLX builds
2 on mlx-community| gemma-3-27b-it-4bit-DWQ | 4-bit DWQ | 16.0 GB | 20 GB | 54 |
|---|---|---|---|---|
| gemma-3-27b-it-qat-bf16 | bf16 | — | — | 39 |
Sizes are estimated from Hugging Face’s parameter counts and the quantisation. Downloads are for the last 30 days.