Image-Text-to-Text
MLX
Safetensors
llada2_moe
dllm
diffusion
llm
text_generation
conversational
custom_code
Instructions to use mlx-community/LLaDA2.1-mini-bf16 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use mlx-community/LLaDA2.1-mini-bf16 with MLX:
# Make sure mlx-vlm is installed # pip install --upgrade mlx-vlm from mlx_vlm import load, generate from mlx_vlm.prompt_utils import apply_chat_template from mlx_vlm.utils import load_config # Load the model model, processor = load("mlx-community/LLaDA2.1-mini-bf16") config = load_config("mlx-community/LLaDA2.1-mini-bf16") # Prepare input image = ["http://images.cocodataset.org/val2017/000000039769.jpg"] prompt = "Describe this image." # Apply chat template formatted_prompt = apply_chat_template( processor, config, prompt, num_images=1 ) # Generate output output = generate(model, processor, formatted_prompt, image) print(output) - Notebooks
- Google Colab
- Kaggle
- Local Apps
- LM Studio
- Pi
How to use mlx-community/LLaDA2.1-mini-bf16 with Pi:
Start the MLX server
# Install MLX LM: uv tool install mlx-lm # Start a local OpenAI-compatible server: mlx_lm.server --model "mlx-community/LLaDA2.1-mini-bf16"
Configure the model in Pi
# Install Pi: npm install -g @mariozechner/pi-coding-agent # Add to ~/.pi/agent/models.json: { "providers": { "mlx-lm": { "baseUrl": "http://localhost:8080/v1", "api": "openai-completions", "apiKey": "none", "models": [ { "id": "mlx-community/LLaDA2.1-mini-bf16" } ] } } }Run Pi
# Start Pi in your project directory: pi
- Hermes Agent new
How to use mlx-community/LLaDA2.1-mini-bf16 with Hermes Agent:
Start the MLX server
# Install MLX LM: uv tool install mlx-lm # Start a local OpenAI-compatible server: mlx_lm.server --model "mlx-community/LLaDA2.1-mini-bf16"
Configure Hermes
# Install Hermes: curl -fsSL https://hermes-agent.nousresearch.com/install.sh | bash hermes setup # Point Hermes at the local server: hermes config set model.provider custom hermes config set model.base_url http://127.0.0.1:8080/v1 hermes config set model.default mlx-community/LLaDA2.1-mini-bf16
Run Hermes
hermes
| license: apache-2.0 | |
| library_name: mlx | |
| tags: | |
| - dllm | |
| - diffusion | |
| - llm | |
| - text_generation | |
| - mlx | |
| pipeline_tag: image-text-to-text | |
| base_model: inclusionAI/LLaDA2.1-mini | |
| # mlx-community/LLaDA2.1-mini-bf16 | |
| This model was converted to MLX format from [`inclusionAI/LLaDA2.1-mini`](https://huggingface.co/inclusionAI/LLaDA2.1-mini) | |
| using mlx-vlm version **0.5.0**. | |
| Refer to the [original model card](https://huggingface.co/inclusionAI/LLaDA2.1-mini) for more details on the model. | |
| ## Use with mlx | |
| ```bash | |
| pip install -U mlx-vlm | |
| ``` | |
| ```bash | |
| python -m mlx_vlm.generate --model mlx-community/LLaDA2.1-mini-bf16 --max-tokens 100 --temperature 0.0 --prompt "Describe this image." --image <path_to_image> | |
| ``` | |