5-bit Open on Hugging Face
Parameters
16B
Weights (est.)
≈ 11.2 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-vlm on an Apple silicon Mac:
pip install mlx-vlmpython -m mlx_vlm.generate --model mlx-community/LLaDA2.1-mini-5bit --image photo.jpg --prompt "Describe this image"
Details
- Base model
- inclusionAI/LLaDA2.1-mini (quantized)
- Vendor
- inclusionAI
- Task
- Vision + text
- Quantisation
- 5-bit
- Licence
- apache-2.0
- Downloads
- 26 in the last 30 days · 152 all time · 0 likes
- Published
- 2026-05-29 · updated 2026-05-30 (5mo ago)
- Tags
- llada2_moe, dllm, diffusion, text_generation, custom_code
Other MLX builds of inclusionAI/LLaDA2.1-mini
| Build | Quantisation | Weights | Mac memory | Downloads |
|---|---|---|---|---|
| LLaDA2.1-mini-4bit | 4-bit | ≈ 9.2 GB | 16 GB+ | 45 |
| LLaDA2.1-mini-5bit (this one) | 5-bit | ≈ 11.2 GB | 16 GB+ | 26 |
| LLaDA2.1-mini-bf16 | bf16 | ≈ 32.5 GB | 48 GB+ | 20 |