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Nemotron-3-Nano-Omni-30B-A3B-Reasoning-mxfp4

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MLX
Safetensors
PyTorch
NemotronH_Nano_Omni_Reasoning_V3
nvidia
multimodal
conversational
4-bit precision
Model card Files
xet
 Community
How to use from
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-mxfp4"
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-mxfp4
Run Hermes 
hermes
Quick Links

mlx-community/Nemotron-3-Nano-Omni-30B-A3B-Reasoning-mxfp4

This model was converted to MLX format from nvidia/Nemotron-3-Nano-Omni-30B-A3B-Reasoning-BF16 using mlx-vlm version 0.4.5. Refer to the original model card for more details on the model.

Use with mlx 

pip install -U mlx-vlm

python -m mlx_vlm.generate --model mlx-community/Nemotron-3-Nano-Omni-30B-A3B-Reasoning-mxfp4 --max-tokens 100 --temperature 0.0 --prompt "Describe this image." --image <path_to_image>
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Model size
7B params
Tensor type
U8
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U32
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BF16
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MLX
Hardware compatibility
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4-bit

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Model tree for mlx-community/Nemotron-3-Nano-Omni-30B-A3B-Reasoning-mxfp4

Base model

nvidia/Nemotron-3-Nano-Omni-30B-A3B-Reasoning-BF16
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