Image-Text-to-Text
MLX
Safetensors
PyTorch
English
qwen3_5_moe
multimodal
action
agent
computer use
gui agents
Mixture of Experts
conversational
8-bit precision
Instructions to use mlx-community/Holo3-35B-A3B-8bit with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use mlx-community/Holo3-35B-A3B-8bit 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/Holo3-35B-A3B-8bit") config = load_config("mlx-community/Holo3-35B-A3B-8bit") # 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 Settings
- LM Studio
- Pi
How to use mlx-community/Holo3-35B-A3B-8bit 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/Holo3-35B-A3B-8bit"
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/Holo3-35B-A3B-8bit" } ] } } }Run Pi
# Start Pi in your project directory: pi
- Hermes Agent new
How to use mlx-community/Holo3-35B-A3B-8bit 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/Holo3-35B-A3B-8bit"
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/Holo3-35B-A3B-8bit
Run Hermes
hermes
| { | |
| "architectures": [ | |
| "Qwen3_5MoeForConditionalGeneration" | |
| ], | |
| "dtype": "float32", | |
| "eos_token_id": [ | |
| 248046, | |
| 248044 | |
| ], | |
| "image_token_id": 248056, | |
| "model_type": "qwen3_5_moe", | |
| "quantization": { | |
| "group_size": 64, | |
| "bits": 8, | |
| "mode": "affine", | |
| "language_model.model.layers.0.mlp.gate": { | |
| "group_size": 64, | |
| "bits": 8 | |
| }, | |
| "language_model.model.layers.0.mlp.shared_expert_gate": { | |
| "group_size": 64, | |
| "bits": 8 | |
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| "language_model.model.layers.1.mlp.gate": { | |
| "group_size": 64, | |
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| "language_model.model.layers.1.mlp.shared_expert_gate": { | |
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| "language_model.model.layers.16.mlp.gate": { | |
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| "language_model.model.layers.17.mlp.gate": { | |
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| "language_model.model.layers.39.mlp.shared_expert_gate": { | |
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| "quantization_config": { | |
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| "group_size": 64, | |
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| "group_size": 64, | |
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| "language_model.model.layers.17.mlp.gate": { | |
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| "bits": 8 | |
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| "language_model.model.layers.19.mlp.gate": { | |
| "group_size": 64, | |
| "bits": 8 | |
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| "language_model.model.layers.19.mlp.shared_expert_gate": { | |
| "group_size": 64, | |
| "bits": 8 | |
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| "language_model.model.layers.20.mlp.gate": { | |
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| "language_model.model.layers.23.mlp.gate": { | |
| "group_size": 64, | |
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| "group_size": 64, | |
| "bits": 8 | |
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| "language_model.model.layers.24.mlp.gate": { | |
| "group_size": 64, | |
| "bits": 8 | |
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| "language_model.model.layers.24.mlp.shared_expert_gate": { | |
| "group_size": 64, | |
| "bits": 8 | |
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| "language_model.model.layers.25.mlp.gate": { | |
| "group_size": 64, | |
| "bits": 8 | |
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| "language_model.model.layers.25.mlp.shared_expert_gate": { | |
| "group_size": 64, | |
| "bits": 8 | |
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| "language_model.model.layers.26.mlp.gate": { | |
| "group_size": 64, | |
| "bits": 8 | |
| }, | |
| "language_model.model.layers.26.mlp.shared_expert_gate": { | |
| "group_size": 64, | |
| "bits": 8 | |
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| "language_model.model.layers.27.mlp.gate": { | |
| "group_size": 64, | |
| "bits": 8 | |
| }, | |
| "language_model.model.layers.27.mlp.shared_expert_gate": { | |
| "group_size": 64, | |
| "bits": 8 | |
| }, | |
| "language_model.model.layers.28.mlp.gate": { | |
| "group_size": 64, | |
| "bits": 8 | |
| }, | |
| "language_model.model.layers.28.mlp.shared_expert_gate": { | |
| "group_size": 64, | |
| "bits": 8 | |
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| "language_model.model.layers.29.mlp.gate": { | |
| "group_size": 64, | |
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