--- license: other license_name: nvidia-open-model-license license_link: https://huggingface.co/nvidia/Nemotron-3-Nano-Omni-30B-A3B-Reasoning-BF16/blob/main/LICENSE base_model: nvidia/Nemotron-3-Nano-Omni-30B-A3B-Reasoning-BF16 library_name: mlx pipeline_tag: image-text-to-text tags: - mlx - nemotron - omni - multimodal - vision - audio - moe language: [en] --- # mlx-community/NVIDIA-Nemotron-3-Nano-Omni-30B-A3B-4bit This model was converted to MLX 4-bit format from [nvidia/Nemotron-3-Nano-Omni-30B-A3B-Reasoning-BF16](https://huggingface.co/nvidia/Nemotron-3-Nano-Omni-30B-A3B-Reasoning-BF16). `NemotronH_Nano_Omni_Reasoning_V3` — a tri-modal (text + vision + audio) multimodal model: - **Text backbone:** NemotronH hybrid (Mamba2 + MoE + attention), 30B total / ~3B active, 128-expert top-6, hidden 2688, 52 layers, 262k context. - **Vision tower:** C-RADIOv4-H ViT (InternVL-style pixel-shuffle head → `mlp1` projector). - **Audio tower:** Parakeet Conformer (learned-filterbank frontend + BatchNorm conv module + Transformer-XL relative-position attention → `sound_projection`). ## Conversion Quantized with a **first-party streaming quantizer** (group_size 64, 4-bit affine) — the stock `mlx_lm` / `mlx_vlm` `convert` tools do not yet support the `NemotronH_Nano_Omni_Reasoning_V3` multimodal wrapper. The LLM-backbone tensor layout is byte-identical to the text sibling [mlx-community/NVIDIA-Nemotron-3-Nano-30B-A3B-4bit](https://huggingface.co/mlx-community/NVIDIA-Nemotron-3-Nano-30B-A3B-4bit); the vision (`vision_model.*`) and audio (`sound_encoder.*`) towers are kept in bf16. ~19 GB on disk, ~20 GB working set (Apple-silicon Mac tier). ## Use The text backbone loads with standard MLX `nemotron_h` tooling. The vision and audio towers require a multimodal runtime that implements the C-RADIO ViT-H and Parakeet Conformer forward passes (e.g. the Evorix on-device engine). ## License Derivative of `nvidia/Nemotron-3-Nano-Omni-30B-A3B-Reasoning-BF16` under the **NVIDIA Open Model License**; original model © NVIDIA.