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Workflows/Set up private chat with gpt-oss · 120B
Text / WORKFLOW

Set up private chat with gpt-oss · 120B

Run the gpt-oss 120B model locally through Ollama, send a first chat prompt, and confirm the model returns a response. This setup is intended for machines with enough memory or GPU capacity to host the 65 GB package; the model is a text-generation model in the gpt-oss series.

EstimatedSource checked 9/29/2026
LOCALRENTED GPU
Freshness 17 out of 100. Repository age: 462 days old, Aug 4, 2025. Measures age, not quality.
Popularity 88 out of 100. 2,429,646 downloads in 30 days; 5,499 lifetime likes. Checked Nov 8, 2026. Measures adoption, not quality.
Arena Open Source Text: rank 87 of 228. Ranked model: gpt-oss-120b. Original model ranking, not a benchmark of this package. Export dated Nov 6, 2026. Source checked Nov 8, 2026. Human preference ranking, not hardware suitability.
Category rankings & sources

Each position belongs to a separate Arena category. These are human preference rankings—not hardware recommendations. We do not combine the categories into one score.

Text#87of 228 open models
gpt-oss-120bopenaiLicense: Apache 2.0

Original model ranking. This does not benchmark the selected quantization or package.

Export dated Nov 6, 2026Checked: Nov 8, 2026Overall board: #219
View official Text board

Rankings reflect the dated export; live Arena boards can change. Open-source positions use Arena’s open-model filter. The overall position also includes the other models on that category board. Availability of weights and license terms still need to be checked separately.

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 Nov 9, 2026. Statistics checked Nov 8, 2026. Statistics are marked for refresh after 72 hours.Full scoring method

Before you begin

Hardware

Estimates for the 65.0 GB Ollama package at 4K text context. A full GPU load needs room beyond the weight download for runtime and KV cache; CPU offload can run on smaller GPUs with enough system RAM, but responds more slowly.

Machinegpt-oss · 120B
NVIDIA GPU · 16 GBUse CPU offload with 96 GB RAM; slow.
NVIDIA GPU · 24 GBUse CPU offload with 96 GB RAM; slow.
NVIDIA GPU · 32 GBUse CPU offload with 96 GB RAM; slow.
NVIDIA GPU · 48 GBUse CPU offload with 96 GB RAM; slow.
NVIDIA GPU · 80 GBRuns at 4K text context; limited headroom.
AMD Radeon · 24 GBUse CPU offload with 96 GB RAM; slow. Confirm the Ollama GPU backend with ollama ps.
AMD Radeon · 32 GBUse CPU offload with 96 GB RAM; slow. Confirm the Ollama GPU backend with ollama ps.
Intel Arc · 24 GBUse CPU offload with 96 GB RAM; slow. Confirm the Ollama GPU backend with ollama ps.
Intel Arc · 32 GBUse CPU offload with 96 GB RAM; slow. Confirm the Ollama GPU backend with ollama ps.
Apple Silicon · 64 GB unifiedNeeds more unified memory at 4K; use a 96 GB Mac or lower-memory model.
Apple Silicon · 128 GB unifiedRuns at 4K text context with room to raise context; speed not tested.
CPU-only · 64 GB RAMBelow the 96 GB system-RAM starting point; choose a smaller model.
DGX Spark · 128 GB unified memoryNVIDIA documents this exact Ollama 120B setup; start at short context.

NVIDIA documents gpt-oss:120b on one 128 GB DGX Spark. This does not imply an 80 GB desktop GPU has the same memory architecture or speed; check free memory and offload on your own hardware.

TEXT / OLLAMASOURCE-LINKED SETUP

Set up private chat with gpt-oss · 120B, step by step.

Run the gpt-oss 120B model locally through Ollama, send a first chat prompt, and confirm the model returns a response. This setup is intended for machines with enough memory or GPU capacity to host the 65 GB package; the model is a text-generation model in the gpt-oss series.

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

gpt-oss · 120B · official

The 65.0 GB published Ollama download is smaller than total runtime memory. Start with 4K text context. 80 GB GPU memory or 96 GB unified Mac memory is an estimated full-load starting point; 96 GB GPU or 128 GB Mac leaves more headroom. Longer context and other apps increase memory use; check ollama ps for actual offload.

Freshness 17 out of 100. Repository age: 462 days old, Aug 4, 2025. Measures age, not quality.
Popularity 88 out of 100. 2,429,646 downloads in 30 days; 5,499 lifetime likes. Checked Nov 8, 2026. Measures adoption, not quality.
Arena Open Source Text: rank 87 of 228. Ranked model: gpt-oss-120b. Original model ranking, not a benchmark of this package. Export dated Nov 6, 2026. Source checked Nov 8, 2026. Human preference ranking, not hardware suitability.
Category rankings & sources

Each position belongs to a separate Arena category. These are human preference rankings—not hardware recommendations. We do not combine the categories into one score.

Text#87of 228 open models
gpt-oss-120bopenaiLicense: Apache 2.0

Original model ranking. This does not benchmark the selected quantization or package.

Export dated Nov 6, 2026Checked: Nov 8, 2026Overall board: #219
View official Text board

Rankings reflect the dated export; live Arena boards can change. Open-source positions use Arena’s open-model filter. The overall position also includes the other models on that category board. Availability of weights and license terms still need to be checked separately.

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 Nov 9, 2026. Statistics checked Nov 8, 2026. Statistics are marked for refresh after 72 hours.Full scoring method
View weight source
02
THE WORKFLOW

Set up gpt-oss · 120B 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 this exact package

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

ollama run gpt-oss:120b
04

Run and inspect a real local task

At the Ollama chat prompt, paste: “Compare running a local 20B assistant with renting a GPU in four short bullets. Cover privacy, setup effort, recurring cost and performance.” Read all four tradeoffs and verify any performance or cost claims independently; the reply is a draft decision aid. This checks the actual selected model, not just that its download completed.

05

Confirm the local package

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

ollama list
03
SUCCESS CHECK · gpt-oss · 120B

Check the local result

Run the exact prompt in the operating-system instructions. Read all four tradeoffs and verify any performance or cost claims independently; the reply is a draft decision aid. Confirm that Ollama lists the selected package and use ollama ps to check whether it ran on GPU or fell back to CPU.

This is a source-linked setup, not a YouRunAI hardware test. Confirm your exact runtime version, package, and output before relying on it.

Back to setup steps

When it doesn’t go to plan

The `ollama pull gpt-oss:120b` command fails or takes very long.

Check that you have enough free disk space (approximately 65 GB for the model) and a stable internet connection. If you are on a limited connection, consider using the smaller gpt-oss:20b variant instead by running `ollama run gpt-oss:20b`.

The model does not load or runs out of memory.

The 120B model is intended for a single 80 GB GPU or a machine with sufficient unified memory. If your hardware does not meet this, try the smaller `gpt-oss:20b` model or run the model on a machine with more memory.

The `ollama` command is not found after installation.

Restart your terminal or command prompt so the PATH is updated. On Linux, you may need to log out and back in or source your shell profile. Confirm the installation completed successfully from the Ollama download page.

REFERENCE LIBRARY

Sources and files

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

6 SOURCES
01Publisher model card and weightshuggingface.co02Publisher run instructionsollama.com03Official Ollama downloadollama.com04Ollama CLI referencedocs.ollama.com05Ollama GPU and driver supportdocs.ollama.com06NVIDIA DGX Spark Ollama gpt-oss 120B setupbuild.nvidia.com

The model behind this workflow

gpt-oss · 120B

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Freshness 37 out of 100. Release age: 255 days old, Feb 27, 2026. Measures age, not quality.
Popularity 91 out of 100. 6,335,106 downloads in 30 days; 2,331 lifetime likes. Checked Nov 8, 2026. Measures adoption, not quality.
SOFTWAREOllama
LOCALRENTED GPU
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Freshness 69 out of 100. Repository age: 96 days old, Aug 5, 2026. Measures age, not quality.
Popularity 96 out of 100. 7,668,187 downloads in 30 days; 19,373 lifetime likes. Checked Nov 8, 2026. Measures adoption, not quality.
Arena Open Source Web coding: rank 12 of 62. Ranked model: Qwen3.8-27B. Original model ranking, not a benchmark of this package. Export dated Nov 6, 2026. Source checked Nov 8, 2026. Human preference ranking, not hardware suitability.+3
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LOCALRENTED GPU
Estimated
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Freshness 32 out of 100. Release age: 298 days old, Jan 15, 2026. Measures age, not quality.
Popularity 77 out of 100. 436,763 downloads in 30 days; 1,098 lifetime likes. Checked Nov 8, 2026. Measures adoption, not quality.
SOFTWAREComfyUI
LOCALRENTED GPU
Verified source