how to run gpt-oss locally — OpenAI's own open model, on your own machine

OpenAI released open-weight models you can run yourself. The 20B fits a 16GB card thanks to clever quantization; the 120B needs a serious rig.…

Aliteq
Lena Fischer · AI & Local Compute Editor

The short version

One command: ollama run gpt-oss:20b (OpenAI partnered with Ollama to distribute these).

The short version

gpt-oss-20b needs ~16GB VRAM — its MoE design + MXFP4 quantization pack it to ~12-13GB on disk.

The short version

gpt-oss-120b needs 60-80GB — a workstation/multi-GPU job, not a typical desktop.

The short version

Built for reasoning + agentic tasks — and works through a local OpenAI-compatible API.

The short version

Short on VRAM? CPU offloading works but runs slower.

The short version

Free, private, offline — OpenAI's models, running on your machine.

Aliteq

Read the full story

how to run gpt-oss locally — OpenAI's own open model, on your own machine

Read the full story on Aliteq