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gpt-oss-20b

OpenAI's open-weight gpt-oss model at the 20B size. The repository is the source for the license and the files. This desk does not resell access to it.

20.91BParameters
apache-2.0License
131,072 tokensContext
2025-08-04Opened
17Freshness 17 / 100
92Popularity 92 / 100

Freshness uses the repository open date. This record is 454 days old, opened 2025-08-04. Popularity uses 6,132,075 downloads and 5,256 likes listed by Hugging Face. Checked 2026-11-01. Neither number grades answers. Formulas.

The parameter count is the total on the record. A mixture-of-experts model does not use every parameter on every token. The file you download is still the full count.

Hugging Face reports 41.4 GB of storage for the whole repository. That figure can include several packs, so the fit table does not use it as the size of one file.

Will it fit?

Save a machine on the hardware page and this block fills in. The table already has the sizes.

PackSizeSaved machine
Weight shards summed13.8 GB weights + 2.5 GB allowance. File: 3 shard files in the repository root.Choose a machine
Q4 estimate11.5 GB weights + 2.5 GB allowance.Choose a machine
Q8 estimate22.0 GB weights + 2.5 GB allowance.Choose a machine
FP16 estimate41.8 GB weights + 2.5 GB allowance.Choose a machine

Estimate rows use the parameter count. A measured row names a file in the repository. The allowance is fixed: it stands in for context or activations, and it is not a measurement from a run.

How to run it

Text models are usually loaded from a quantized pack in llama.cpp, Ollama, or LM Studio, or from the original weights with the publisher's own instructions. AI Price Desk does not host the weights.

Publisher repository on Hugging Face

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This directory is assembled from public model records. Freshness is age. Popularity is downloads and likes. A fit figure is an estimate from a parameter count or from a published file size, not a run on our hardware. How the numbers are made. AI disclosure.