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Nemotron-3-Nano-Omni-30B-A3B-Reasoning-5bit

mlx-community/Nemotron-3-Nano-Omni-30B-A3B-Reasoning-5bit
5-bit Open on Hugging Face
Parameters
33B
Weights (est.)
≈ 23.7 GB
Mac memory (est.)
32 GB+

Size is estimated from the parameter count and quantisation. Memory allows a fifth extra for context plus 2 GB for the system; long contexts need more.

Run it

With mlx-vlm on an Apple silicon Mac:

pip install mlx-vlmpython -m mlx_vlm.generate --model mlx-community/Nemotron-3-Nano-Omni-30B-A3B-Reasoning-5bit --image photo.jpg --prompt "Describe this image"

Details

Base model
nvidia/Nemotron-3-Nano-Omni-30B-A3B-Reasoning-BF16 (quantized)
Vendor
NVIDIA
Task
Vision + text
Quantisation
5-bit
Licence
nvidia-open-model-agreement
Downloads
49 in the last 30 days · 879 all time · 0 likes
Published
2026-04-28 · updated 2026-04-29 (6mo ago)
Tags
NemotronH_Nano_Omni_Reasoning_V3, nvidia, pytorch, multimodal

Other MLX builds of nvidia/Nemotron-3-Nano-Omni-30B-A3B-Reasoning-BF16

Build Quantisation Weights Mac memory Downloads
Nemotron-3-Nano-Omni-30B-A3B-Reasoning-4bit 4-bit ≈ 19.6 GB 24 GB+ 509
Nemotron-3-Nano-Omni-30B-A3B-Reasoning-nvfp4 4-bit ≈ 19.6 GB 24 GB+ 361
Nemotron-3-Nano-Omni-30B-A3B-Reasoning-mxfp4 MXFP4 ≈ 19.6 GB 24 GB+ 55
NVIDIA-Nemotron-3-Nano-Omni-30B-A3B-4bit 4-bit ≈ 20.7 GB 32 GB+ 159
Nemotron-3-Nano-Omni-30B-A3B-Reasoning-5bit (this one) 5-bit ≈ 23.7 GB 32 GB+ 49
Nemotron-3-Nano-Omni-30B-A3B-Reasoning-6bit 6-bit ≈ 27.7 GB 48 GB+ 49
Nemotron-3-Nano-Omni-30B-A3B-Reasoning-8bit 8-bit ≈ 35.8 GB 48 GB+ 308
Nemotron-3-Nano-Omni-30B-A3B-Reasoning-mxfp8 MXFP8 ≈ 35.8 GB 48 GB+ 45
Nemotron-3-Nano-Omni-30B-A3B-Reasoning-bf16 bf16 ≈ 66.0 GB 96 GB+ 62