Any-to-Any
MLX
diffusion-lm
mixture-of-experts
multimodal
text-to-image
image-understanding
apple-silicon
llada
Instructions to use treadon/mlx-llada2-uni with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use treadon/mlx-llada2-uni with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] huggingface-cli download --local-dir mlx-llada2-uni treadon/mlx-llada2-uni
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
| [build-system] | |
| requires = ["setuptools", "wheel"] | |
| build-backend = "setuptools.build_meta" | |
| [project] | |
| name = "mlx-llada2-uni" | |
| version = "0.0.1" | |
| description = "LLaDA2.0-Uni (diffusion LLM) on Apple Silicon via MLX" | |
| license = {text = "Apache-2.0"} | |
| requires-python = ">=3.10" | |
| dependencies = [ | |
| "mlx>=0.20", | |
| "numpy", | |
| "huggingface_hub", | |
| "safetensors", | |
| "transformers", | |
| "tqdm", | |
| ] | |
| [tool.setuptools.packages.find] | |
| where = ["."] | |
| include = ["llada2*"] | |