4-bit Open on Hugging Face
Parameters
16B
Weights (est.)
≈ 9.2 GB
Mac memory (est.)
16 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/LLaDA2.0-mini-4bit --prompt "Hello"
Details
- Base model
- inclusionAI/LLaDA2.0-mini (quantized)
- Vendor
- inclusionAI
- Task
- Text generation
- Quantisation
- 4-bit
- Licence
- apache-2.0
- Downloads
- 50 in the last 30 days · 656 all time · 3 likes
- Published
- 2025-11-25 · updated 2025-11-25 (11mo ago)
- Tags
- llada2_moe, dllm, diffusion, text_generation, custom_code
Other MLX builds of inclusionAI/LLaDA2.0-mini
| Build | Quantisation | Weights | Mac memory | Downloads |
|---|---|---|---|---|
| LLaDA2.0-mini-4bit (this one) | 4-bit | ≈ 9.2 GB | 16 GB+ | 50 |
| LLaDA2.0-mini-6bit | 6-bit | ≈ 13.2 GB | 24 GB+ | 29 |
| LLaDA2.0-mini-8bit | 8-bit | ≈ 17.3 GB | 24 GB+ | 26 |