8-bit Open on Hugging Face
Parameters
1.3B
Weights (est.)
≈ 1.4 GB
Mac memory (est.)
8 GB+
Size is estimated from the parameter count and quantisation. Memory allows a fifth extra for context plus 2 GB for the system; long contexts need more.
Run it
With mlx-lm on an Apple silicon Mac:
pip install mlx-lmmlx_lm.generate --model mlx-community/exaone-4.0-1.2b-8bit --prompt "Hello"
Details
- Base model
- LGAI-EXAONE/EXAONE-4.0-1.2B (quantized)
- Vendor
- LGAI-EXAONE
- Task
- Text generation
- Quantisation
- 8-bit
- Licence
- exaone
- Downloads
- 35 in the last 30 days · 478 all time · 0 likes
- Published
- 2025-07-15 · updated 2025-07-15 (1y ago)
- Languages
- en, ko, es
- Tags
- exaone4, lg-ai, exaone, exaone-4.0
Other MLX builds of LGAI-EXAONE/EXAONE-4.0-1.2B
| Build | Quantisation | Weights | Mac memory | Downloads |
|---|---|---|---|---|
| exaone-4.0-1.2b-4bit | 4-bit | ≈ 720 MB | 8 GB+ | 254 |
| exaone-4.0-1.2b-8bit (this one) | 8-bit | ≈ 1.4 GB | 8 GB+ | 35 |
| exaone-4.0-1.2b-bf16 | bf16 | ≈ 2.6 GB | 8 GB+ | 43 |