Image-Text-to-Text
MLX
Safetensors
PyTorch
NemotronH_Nano_Omni_Reasoning_V3
nvidia
multimodal
conversational
5-bit
Instructions to use mlx-community/Nemotron-3-Nano-Omni-30B-A3B-Reasoning-5bit with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use mlx-community/Nemotron-3-Nano-Omni-30B-A3B-Reasoning-5bit 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/Nemotron-3-Nano-Omni-30B-A3B-Reasoning-5bit") config = load_config("mlx-community/Nemotron-3-Nano-Omni-30B-A3B-Reasoning-5bit") # 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/Nemotron-3-Nano-Omni-30B-A3B-Reasoning-5bit 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/Nemotron-3-Nano-Omni-30B-A3B-Reasoning-5bit"
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/Nemotron-3-Nano-Omni-30B-A3B-Reasoning-5bit" } ] } } }Run Pi
# Start Pi in your project directory: pi
- Hermes Agent new
How to use mlx-community/Nemotron-3-Nano-Omni-30B-A3B-Reasoning-5bit 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/Nemotron-3-Nano-Omni-30B-A3B-Reasoning-5bit"
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/Nemotron-3-Nano-Omni-30B-A3B-Reasoning-5bit
Run Hermes
hermes
| { | |
| "add_prefix_space": false, | |
| "auto_map": { | |
| "AutoProcessor": "processing.NemotronH_Nano_Omni_Reasoning_V3Processor" | |
| }, | |
| "backend": "tokenizers", | |
| "bos_token": "<s>", | |
| "clean_up_tokenization_spaces": false, | |
| "eos_token": "<|im_end|>", | |
| "is_local": true, | |
| "local_files_only": false, | |
| "model_input_names": [ | |
| "input_ids", | |
| "attention_mask" | |
| ], | |
| "model_max_length": 262144, | |
| "pad_token": "<|im_end|>", | |
| "padding_side": "left", | |
| "processor_class": "NemotronH_Nano_Omni_Reasoning_V3Processor", | |
| "tokenizer_class": "TokenizersBackend", | |
| "unk_token": "<unk>" | |
| } | |