Google · First MLX build 9 Aug 2025
gemma-3-270m
MLX
Text gemma
A 436M parameter text generation model from Google, with 5 MLX builds, from 4-bit to bf16.
- Parameters
- 436M From Hugging Face
- Quantisation
- 4-bit gemma-3-270m-4bit
- Memory needed
- 3 GB Estimate, unified memory
- Download
- 245 MB Weights, estimated
- Downloads
- 61 This build, last 30 days
- Task
- Text generation Text
- MLX builds
- 5 On mlx-community
- Devices
- Mac Apple silicon
Memory
Will it fit?Needs about 3 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-3-270m-4bit --prompt "Hello"MLX builds
5 on mlx-community| gemma-3-270m-4bit | 4-bit | 245 MB | 3 GB | 61 |
|---|---|---|---|---|
| gemma-3-270m-5bit | 5-bit | 300 MB | 3 GB | 26 |
| gemma-3-270m-6bit | 6-bit | 354 MB | 3 GB | 20 |
| gemma-3-270m-8bit | 8-bit | 463 MB | 3 GB | 33 |
| gemma-3-270m-bf16 | bf16 | 872 MB | 3 GB | 47 |
Sizes are estimated from Hugging Face’s parameter counts and the quantisation. Downloads are for the last 30 days.