Google · First MLX build 5 May 2026
gemma-4-E2B-it-assistant
MLX
Text gemma
A 78M parameter text generation model from Google, with one MLX build at bf16.
- Parameters
- 78M From Hugging Face
- Quantisation
- bf16 gemma-4-E2B-it-assistant-bf16
- Memory needed
- 3 GB Estimate, unified memory
- Download
- 158 MB Weights, estimated
- Downloads
- 471 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 3 GB at bf16
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-E2B-it-assistant-bf16 --prompt "Hello"MLX builds
1 on mlx-community| gemma-4-E2B-it-assistant-bf16 | bf16 | 158 MB | 3 GB | 471 |
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Sizes are estimated from Hugging Face’s parameter counts and the quantisation. Downloads are for the last 30 days.