LG AI Research · First MLX build 15 Jul 2025
EXAONE-4.0-1.2B
MLX
Text exaone
A 1.3B parameter text generation model from LG AI Research, with 3 MLX builds, from 4-bit to bf16.
- Parameters
- 1.3B From Hugging Face
- Quantisation
- 4-bit exaone-4.0-1.2b-4bit
- Memory needed
- 3 GB Estimate, unified memory
- Download
- 720 MB Weights, estimated
- Downloads
- 249 This build, last 30 days
- Task
- Text generation Text
- MLX builds
- 3 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/exaone-4.0-1.2b-4bit --prompt "Hello"MLX builds
3 on mlx-community| exaone-4.0-1.2b-4bit | 4-bit | 720 MB | 3 GB | 249 |
|---|---|---|---|---|
| exaone-4.0-1.2b-8bit | 8-bit | 1.4 GB | 4 GB | 35 |
| exaone-4.0-1.2b-bf16 | bf16 | 2.6 GB | 5 GB | 43 |
Sizes are estimated from Hugging Face’s parameter counts and the quantisation. Downloads are for the last 30 days.