Image-Text-to-Text
MLX
Safetensors
English
Polish
multilingual
gemma4
apple-silicon
gemma
gemma-4
abliterated
uncensored
Mixture of Experts
multimodal
vision
vmlx
nvfp4
4bit
quantized
huihui
conversational
4-bit precision
Instructions to use LibraxisAI/Huihui4-48B-A4B-vmlx-nvfp4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use LibraxisAI/Huihui4-48B-A4B-vmlx-nvfp4 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("LibraxisAI/Huihui4-48B-A4B-vmlx-nvfp4") config = load_config("LibraxisAI/Huihui4-48B-A4B-vmlx-nvfp4") # 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 new
How to use LibraxisAI/Huihui4-48B-A4B-vmlx-nvfp4 with Pi:
Start the MLX server
# Install MLX LM: uv tool install mlx-lm # Start a local OpenAI-compatible server: mlx_lm.server --model "LibraxisAI/Huihui4-48B-A4B-vmlx-nvfp4"
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": "LibraxisAI/Huihui4-48B-A4B-vmlx-nvfp4" } ] } } }Run Pi
# Start Pi in your project directory: pi
- Hermes Agent new
How to use LibraxisAI/Huihui4-48B-A4B-vmlx-nvfp4 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 "LibraxisAI/Huihui4-48B-A4B-vmlx-nvfp4"
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 LibraxisAI/Huihui4-48B-A4B-vmlx-nvfp4
Run Hermes
hermes
| { | |
| "audio_seq_length": 750, | |
| "image_processor": { | |
| "do_convert_rgb": true, | |
| "do_normalize": false, | |
| "do_rescale": true, | |
| "do_resize": true, | |
| "image_mean": [ | |
| 0.0, | |
| 0.0, | |
| 0.0 | |
| ], | |
| "image_processor_type": "Gemma4ImageProcessor", | |
| "image_seq_length": 280, | |
| "image_std": [ | |
| 1.0, | |
| 1.0, | |
| 1.0 | |
| ], | |
| "max_soft_tokens": 280, | |
| "patch_size": 16, | |
| "pooling_kernel_size": 3, | |
| "resample": 3, | |
| "rescale_factor": 0.00392156862745098, | |
| "size": { | |
| "height": 224, | |
| "width": 224 | |
| } | |
| }, | |
| "image_seq_length": 280, | |
| "processor_class": "Gemma4Processor", | |
| "feature_extractor": { | |
| "feature_extractor_type": "Gemma4AudioFeatureExtractor", | |
| "sampling_rate": 16000, | |
| "num_mel_filters": 128, | |
| "fft_length": 512, | |
| "hop_length": 160, | |
| "chunk_duration": 8.0, | |
| "overlap_duration": 1.0 | |
| }, | |
| "audio_ms_per_token": 40 | |
| } |