aisingapore · First MLX build 21 Jun 2026
Gemma-SEA-LION-v4.5-E2B-IT
MLX
Text mit
A 4.6B parameter text generation model from aisingapore, with 2 MLX builds, from 4-bit to 8-bit.
- Parameters
- 4.6B From Hugging Face
- Quantisation
- 4-bit Gemma-SEA-LION-v4.5-E2B-IT-4bits
- Memory needed
- 5 GB Estimate, unified memory
- Download
- 2.6 GB Weights, estimated
- Downloads
- 47 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 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/Gemma-SEA-LION-v4.5-E2B-IT-4bits --prompt "Hello"MLX builds
2 on mlx-community| Gemma-SEA-LION-v4.5-E2B-IT-4bits | 4-bit | 2.6 GB | 5 GB | 47 |
|---|---|---|---|---|
| Gemma-SEA-LION-v4.5-E2B-IT-8bits | 8-bit | 4.9 GB | 8 GB | 45 |
Sizes are estimated from Hugging Face’s parameter counts and the quantisation. Downloads are for the last 30 days.