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noctrex/
Nemotron-3-Nano-Omni-30B-A3B-Reasoning-MXFP4_MOE-GGUF

Name: Nemotron-3-Nano-Omni-30B-A3B-Reasoning-MXFP4_MOE-GGUF
Availability: InStock

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These are MXFP4 quantizations of the model NVIDIA-Nemotron-3-Nano-Omni-30B-A3B-Reasoning, based on the imatrix from unsloth.

Quick Start

Download the latest release of llama.cpp.
Download your preferred model variant from below.
For the mmproj file, it is recommended to use the F32 version for the best results.
F32 > BF16 > F16

Which version should I choose?

All variants use MXFP4 for the MoE (Mixture of Experts) weights to keep the model efficient. The difference lies in how the remaining tensors are handled:

Variant	Quality	Performance	Size	Recommendation
BF16	⭐⭐⭐	Variable*	18.66GiB	Best for maximum accuracy; original unquantized weights.
F16	⭐⭐	Fast	18.66GiB	Great alternative if BF16 is slow on your hardware.
Q8	⭐	Fastest	17.05GiB	Balanced performance and memory usage.

**Note: On some older architectures, BF16 may be slower than F16. Check that your GPU supports native BF16 *

Read the guide from unsloth in order to set up the model's recommended settings:
NVIDIA Nemotron 3 Nano Omni - How To Run Locally

noctrex/Nemotron-3-Nano-Omni-30B-A3B-Reasoning-MXFP4_MOE-GGUF

Quick Start

Which version should I choose?

noctrex/
Nemotron-3-Nano-Omni-30B-A3B-Reasoning-MXFP4_MOE-GGUF