LG AI Research · First MLX build 18 Mar 2025
EXAONE-Deep-2.4B
MLX
Text exaone
A 2.4B parameter text generation model from LG AI Research, with 5 MLX builds, from 3-bit to bf16.
- Parameters
- 2.4B From Hugging Face
- Quantisation
- 4-bit EXAONE-Deep-2.4B-4bit
- Memory needed
- 4 GB Estimate, unified memory
- Download
- 1.4 GB Weights, estimated
- Downloads
- 45 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 4 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-Deep-2.4B-4bit --prompt "Hello"MLX builds
5 on mlx-community| EXAONE-Deep-2.4B-3bit | 3-bit | 1.1 GB | 4 GB | 19 |
|---|---|---|---|---|
| EXAONE-Deep-2.4B-4bit | 4-bit | 1.4 GB | 4 GB | 45 |
| EXAONE-Deep-2.4B-6bit | 6-bit | 2.0 GB | 5 GB | 18 |
| EXAONE-Deep-2.4B-8bit | 8-bit | 2.6 GB | 5 GB | 26 |
| EXAONE-Deep-2.4B-bf16 | bf16 | 4.8 GB | 8 GB | 25 |
Sizes are estimated from Hugging Face’s parameter counts and the quantisation. Downloads are for the last 30 days.