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Chat privately with Nemotron 3 Nano Omni

Use a source-linked Q4_K_M conversion of NVIDIA Nemotron 3 Nano Omni in Ollama for a reviewable local text chat. The publisher BF16 and full multimodal serving routes remain linked separately.

EstimatedSource checked 9/29/2026
LOCALRENTED GPU
Freshness 50 out of 100. Repository age: 178 days old, Apr 20, 2026. Measures age, not quality.
Popularity 74 out of 100. 336,466 downloads in 30 days; 439 lifetime likes. Checked Oct 15, 2026. Measures adoption, not quality.
What do these scores mean?

Two ways to compare models. Neither score measures answer quality, benchmark performance, or whether a model fits your machine.

Freshness · release age

A new release starts at 100. The score halves every 180 days: 100 × 2^(−age in days / 180). When the release date is unavailable, a repository date is a fallback—not proof of when the model was released. Missing dates stay unscored.

Check the date source
Popularity · adoption

Downloads over the past 30 days carry 80% of the score; lifetime likes carry 20%. Both use a logarithmic scale, capped at 10 million downloads and 100,000 likes. If likes are unavailable, downloads carry all the weight. Missing download statistics stay unscored.

round(80 × min(1, log10(1 + downloads) / 7) + 20 × min(1, log10(1 + likes) / 5))

Check the statistics source
Scores as of Oct 15, 2026. Statistics checked Oct 15, 2026. Statistics are marked for refresh after 72 hours.Full scoring method

Before you begin

Hardware

Estimated memory starting points for the complete 22.4 GB Q4_K_M GGUF at 4K text context. The 63.2 GB BF16 checkpoint is a different package and not rated by this table.

MachineNemotron 3 Nano Omni · Q4_K_M
NVIDIA GPU · 24 GBMay load with CPU offload; full GPU fit is tight after runtime and context.
NVIDIA GPU · 32 GBEstimated 4K text-chat fit with room for runtime; verify ollama ps.
NVIDIA GPU · 48 GBEstimated 4K fit with more headroom for context.
AMD Radeon · 24 GBMay use CPU offload; confirm Ollama backend and placement with ollama ps.
AMD Radeon · 32 GBEstimated 4K fit if the Ollama backend supports this GPU; check ollama ps.
Intel Arc · 24 GBMay use CPU offload; confirm Vulkan placement with ollama ps.
Intel Arc · 32 GBEstimated 4K fit if Ollama Vulkan supports this GPU; check ollama ps.
Apple Silicon Mac · 32 GB unifiedEstimated short text-chat fit; limited memory headroom.
Apple Silicon Mac · 48 GB unifiedEstimated short text-chat fit with more headroom.
CPU-only · 32 GB RAMPossible in RAM at short context; expect much slower replies than GPU.
CPU-only · 64 GB RAMCan load in RAM with more headroom; expect slower replies than GPU.

These are memory estimates for text only. The GGUF card does not prove image, audio or video input parity with NVIDIA’s publisher serving route.

PRIVATE TEXT CHAT / NEMOTRONSOURCE-LINKED SETUP

Run Nemotron 3 Nano Omni for private text chat

Install Ollama, pull the exact Q4_K_M GGUF conversion of NVIDIA’s Nano Omni BF16 checkpoint, ask one concrete text question and check the answer. Choose the Windows, Mac or Linux path for your machine.

Choose a package Run its commands Check the result
01
BEFORE YOU BEGIN

The documented package

This setup uses the package documented for this task. Review its source and supported platforms before starting.

Save your machine in My Hardware to get an automatic starting choice. You can always choose any package yourself.

CURRENT SETUP

Nemotron 3 Nano Omni · Q4_K_M · community-modified weights

The 22.4 GB Q4_K_M download needs more memory at runtime, especially with context. Start at 4K text context. A 24 GB GPU may use CPU offload; 32 GB GPU or 48 GB Apple Silicon unified memory gives safer headroom. Check ollama ps; speed is unmeasured.

Freshness 74 out of 100. Repository age: 77 days old, Jul 30, 2026. Measures age, not quality.
Popularity 40 out of 100. 2,007 downloads in 30 days; 2 lifetime likes. Checked Oct 15, 2026. Measures adoption, not quality.
What do these scores mean?

Two ways to compare models. Neither score measures answer quality, benchmark performance, or whether a model fits your machine.

Freshness · release age

A new release starts at 100. The score halves every 180 days: 100 × 2^(−age in days / 180). When the release date is unavailable, a repository date is a fallback—not proof of when the model was released. Missing dates stay unscored.

Check the date source
Popularity · adoption

Downloads over the past 30 days carry 80% of the score; lifetime likes carry 20%. Both use a logarithmic scale, capped at 10 million downloads and 100,000 likes. If likes are unavailable, downloads carry all the weight. Missing download statistics stay unscored.

round(80 × min(1, log10(1 + downloads) / 7) + 20 × min(1, log10(1 + likes) / 5))

Check the statistics source
Scores as of Oct 15, 2026. Statistics checked Oct 15, 2026. Statistics are marked for refresh after 72 hours.Full scoring method
View weight source
02
THE WORKFLOW

Set up Nemotron 3 Nano Omni · Q4_K_M on your machine

Choose where you want to run it. The instructions below update to match your selection.

CHOOSE YOUR SETUPMac

Use Terminal on Apple Silicon. Ollama for macOS is available from the official download page.

01

Install Ollama for macOS

Download the Mac application from Ollama, move it to Applications, and open it so the local service starts.

Download Ollama for Mac
02

Check Ollama in Terminal

Open a new Terminal window and confirm the command-line tool is available.

ollama --version
03

Download and start the Q4 GGUF package

Run the source-linked command. The first launch downloads the selected weights; subsequent launches reuse the local copy.

ollama run hf.co/ggml-org/NVIDIA-Nemotron-3-Nano-Omni-30B-A3B-GGUF:Q4_K_M
04

Run and inspect a real local task

At the Ollama prompt ask: “A project has 17 local files and 8 more arrive. How many files are there? Give the two input numbers, the total, and one short reason.” Verify the two inputs and 25 total independently. This checks that the selected text-chat package answered, not just downloaded.

05

Confirm the local package

In a second Terminal window, verify that the selected package is installed locally.

ollama list
03
SUCCESS CHECK · Nemotron 3 Nano Omni · Q4_K_M

A local answer you can inspect

The selected GGUF answers the sample task by listing the two numbers, their total and one reason the total is correct. Check the arithmetic yourself, then run ollama ps to see the actual GPU/CPU placement.

This GGUF is a ggml-org conversion of NVIDIA’s BF16 checkpoint, not publisher BF16 weights. The source card links the exact base model. This guide covers text chat, not NVIDIA’s richer multimodal route; quantization and runtime may change output quality. No YouRunAI speed measurement is claimed.

Back to setup steps

When it doesn’t go to plan

The GGUF tag fails to load.

Update Ollama, confirm the exact hf.co/ggml-org/NVIDIA-Nemotron-3-Nano-Omni-30B-A3B-GGUF:Q4_K_M tag and repeat the pull. This is a third-party conversion of NVIDIA BF16 weights.

The 24 GB GPU loads slowly or uses system RAM.

Check ollama ps for the GPU/CPU split. Close other GPU applications; use 32 GB VRAM or a 48 GB unified Mac if full-load speed matters.

A multimodal prompt fails.

This guide verifies text chat only. The publisher BF16 deployment documentation covers video, audio and image inputs; do not infer that the GGUF text path reproduces every multimodal route.

REFERENCE LIBRARY

Sources and files

Original instructions, model files, and compatibility notes behind this setup.

5 SOURCES
01NVIDIA Nano Omni inference routesdocs.nvidia.com02GGUF conversion of the exact NVIDIA BF16 checkpointhuggingface.co03NVIDIA publisher BF16 weightshuggingface.co04Official Ollama installationollama.com05Ollama GPU supportdocs.ollama.com

The model behind this workflow

Nemotron 3 Nano Omni 30B A3B Reasoning BF16

Keep exploring

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Source-backed package and platform-route plan for private local chat with Qwen3.5 · 9B. Preserves the official Ollama 9B package, a smaller 4B family fallback, and a clearly labeled community uncensored GGUF option.

Freshness 41 out of 100. Release age: 230 days old, Feb 27, 2026. Measures age, not quality.
Popularity 93 out of 100. 8,591,266 downloads in 30 days; 2,171 lifetime likes. Checked Oct 15, 2026. Measures adoption, not quality.
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Freshness 76 out of 100. Repository age: 71 days old, Aug 5, 2026. Measures age, not quality.
Popularity 95 out of 100. 7,363,968 downloads in 30 days; 17,749 lifetime likes. Checked Oct 15, 2026. Measures adoption, not quality.
Arena Open Source Web coding: rank 10 of 55. Ranked model: qwen3.8-27b. Original model ranking, not a benchmark of this package. Export dated Oct 13, 2026. Source checked Oct 15, 2026. Human preference ranking, not hardware suitability.+3
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Estimated
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Freshness 35 out of 100. Release age: 273 days old, Jan 15, 2026. Measures age, not quality.
Popularity 76 out of 100. 423,736 downloads in 30 days; 1,043 lifetime likes. Checked Oct 15, 2026. Measures adoption, not quality.
SOFTWAREComfyUI
LOCALRENTED GPU
Verified source