Run GPT OSS 20B locally: hardware requirements
GPT OSS 20B by OpenAI installs on a paired computer through idapt's local engine. RAM decides whether a build fits; a GPU only changes speed. Local runs are not billed.
- Download
- 14 GB
- RAM needed
- 16 GB
- Builds
- 1
Will it run on your machine?
Enter your system RAM to get verdicts. RAM decides whether a build fits; a GPU only changes speed.
Every build
| Build | Quantization | Download | RAM needed |
|---|---|---|---|
| 20bDefault | full precision | 14 GB | 16 GB |
RAM figures are working-set recommendations: when GPU memory is short, the runtime spills to CPU and system memory instead of failing.
Install it
Pair a computer with idapt and install GPT OSS 20B from the model page: the local engine bootstraps itself, pulls the build you pick, and streams progress. Or pull it directly:
ollama pull gpt-oss:20bFrequently asked
How much RAM do I need to run GPT OSS 20B locally?
The smallest GPT OSS 20B build runs with about 16 GB of system RAM; the largest needs 16 GB. RAM is the binding requirement: when GPU memory is short, the runtime spills to CPU and system memory instead of failing.
Which quantization of GPT OSS 20B should I pick?
Start with the default 20b build: a 14 GB download that wants about 16 GB of RAM. Smaller quantizations shrink the download and memory needs at some cost in output quality; larger ones do the reverse.
Do I need a GPU to run GPT OSS 20B?
No. A GPU with enough VRAM makes generation faster, but GPT OSS 20B runs on CPU and system RAM alone. Whether a build fits is decided by RAM; the GPU only changes speed.
How big is the GPT OSS 20B download?
About 14 GB for the single available build.
Can idapt install GPT OSS 20B for me?
Yes. Pair a computer with idapt and install GPT OSS 20B from this page: the local engine bootstraps itself, pulls the build you pick (ollama pull gpt-oss), and streams download progress. Local runs are not billed.
Part of the GPT OSS 20B model page · GPT OSS 20B pricing · Check every local model against your hardware