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LLM models · Model

Gpt Oss 20b

Researched

OpenAI's gpt-oss-20b is a 22B parameter text generation model hosted on Hugging Face in 8-bit and mxfp4 (4-bit) quantizations. It deploys via the lightweight transformers serve CLI or multiple third-party inference providers, suited for evaluation, experimentation, and moderate loads.

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At a glance

In one minute

Start here for the decision-making essentials: what Gpt Oss 20b does, who it is for, how it is accessed, and the first-party sources behind this profile.

PricingCurrent signal

Hugging Face offers paid upgrades for user or organization accounts.

Platforms
Hugging Face
API accessNot public
FoundedNot disclosed by source
AvailabilityWeb / remote
LicenseProprietary

Best suited to

Source-backed fit
Evaluation, experimentation, and moderate load deployments Lightweight local or self-hosted server setups via transformers serve CLI Deployments across multiple inference providers (Groq, Cerebras, Together,… 8-bit and mxfp4 quantized inference Continuous batching throughput and latency optimization
Model registry

Specifications and best fit

Source backed

Published specifications and use cases for Gpt Oss 20b. Repository dates are kept separate from the model's original release date.

Developer
openai
Family
Not stated
Original release
Aug 26, 2025
Repository created
2025-08-04
Parameters
22B
Context window
Not stated
Architecture
Not stated
License
apache-2.0
Weights
Not stated
Modalities
Text Generation
Languages
Not stated
Repository
openai/gpt-oss-20b

Good fit for

  • Evaluation, experimentation, and moderate load deployments

Known limitations

  • Not recommended for large-scale production deployments; vLLM or SGLang with a Transformer
Decision support

Common questions and adoption checks

6 sourced answers

Short answers to the questions buyers and builders commonly ask about Gpt Oss 20b. Each answer cites the shared ledger below, where every source is listed once.

01What does Gpt Oss 20b say it can do?

Supports continuous batching to increase throughput and lower latency · Text Generation

Features like continuous batching increase throughput and lower latency.
Ledger citations[2] huggingface.co/docs/transformers/main/serve-cli/serving[3] huggingface.co/models
02What use cases does Gpt Oss 20b describe?

Evaluation, experimentation, and moderate load deployments

Use it for evaluation, experimentation, and moderate load deployments.
Ledger citation[2] huggingface.co/docs/transformers/main/serve-cli/serving
03What should teams verify before adopting Gpt Oss 20b?

Not recommended for large-scale production deployments; vLLM or SGLang with a Transformer

For large scale production deployments, use vLLM or SGLang with a Transformer model as the backend.
Ledger citation[2] huggingface.co/docs/transformers/main/serve-cli/serving
04What pricing information is available for Gpt Oss 20b?

Hugging Face offers paid upgrades for user or organization accounts.

if you decide to upgrade your user or organization account
Ledger citation[1] huggingface.co/privacy
05Does Gpt Oss 20b document API access?

Exposed via HF Inference API and third-party inference providers (groq, cerebras, together

HF Inference API WaveSpeed DeepInfra
Ledger citation[6] huggingface.co/models
06How can Gpt Oss 20b be deployed or accessed?

Lightweight local or self-hosted server option · Avoids the extra runtime and operational overhead of dedicated inference engines like vLLM · Available via multiple inference providers including Groq, Novita, Cerebras, Nscale, fal-a

The transformers serve CLI is a lightweight option for local or self-hosted servers.
Ledger citations[2] huggingface.co/docs/transformers/main/serve-cli/serving[4] huggingface.co/models
Decision guide

Capabilities and operating fit

LLM models

This profile connects the jobs Gpt Oss 20b is described as handling with its delivery model, access options and the subjects used to match it to related products in this directory.

Common use cases

  • Text generation tasks
  • Local or self-hosted model serving with the transformers serve CLI
  • Inference via Hugging Face Inference API and third-party providers
  • Moderate-load production testing
  • Multi-provider inference routing
  • Evaluation, experimentation, and moderate load deployments

Access signals

Pricing model
Hugging Face offers paid upgrades for user or organization accounts.
API
Not publicly listed
Source links
16 recorded
Source-backed

Verified facts

Updated July 22, 2026

Each fact points to a recorded source, making it easy to distinguish verified product information from claims that need checking.

Official website

HTTP 200 verified twice

[5]huggingface.co/openai/gpt-oss-20b
First-party description

openai/gpt-oss-20b · Hugging Face

[5]huggingface.co/openai/gpt-oss-20b
Source-supported facts

Model identifier: openai/gpt-oss-20b · Parameter count: 22B · Modality: Text Generation

[5]huggingface.co/openai/gpt-oss-20b
Model

openai/gpt-oss-20b

[5]huggingface.co/openai/gpt-oss-20b
Platform

Hugging Face

[5]huggingface.co/openai/gpt-oss-20b
Company

Hugging Face, Inc.

[1]huggingface.co/privacy
Company

Hugging Face is on a journey to advance and democratize artificial intelligence through open source and open science.

[1]huggingface.co/privacy
Security

Privacy Policy effective date is March 28, 2023.

[1]huggingface.co/privacy
View 25 more verified facts
Security

Hugging Face collects Personal Information directly provided by Users, including email address, password, username, full name, and optional information such as avatar, interests, or usernames to third-party social networks.

[1]huggingface.co/privacy
Security

Payment information, including credit card details, is collected when users decide to upgrade their user or organization account.

[1]huggingface.co/privacy
Security

The Company collects communications between users and the Company as part of using the Services.

[1]huggingface.co/privacy
Security

Users may share information or content publicly or privately; publicly shared content can be viewed by anyone, while private content is restricted to authorized users.

[1]huggingface.co/privacy
Security

The Privacy Policy is part of the Hugging Face Terms of Use and applies to all users of the Services.

[1]huggingface.co/privacy
Platform

Hugging Face provides Services including Models, Datasets, Spaces, Buckets, Docs, Inference Providers, Inference Endpoints, Storage, and Buckets.

[1]huggingface.co/privacy
Pricing

Hugging Face offers paid upgrades for user or organization accounts.

[1]huggingface.co/privacy
Deployment

Lightweight local or self-hosted server option

[2]huggingface.co/docs/transformers/main/serve-cli/serving
Deployment

Avoids the extra runtime and operational overhead of dedicated inference engines like vLLM

[2]huggingface.co/docs/transformers/main/serve-cli/serving
Use case

Evaluation, experimentation, and moderate load deployments

[2]huggingface.co/docs/transformers/main/serve-cli/serving
Capability

Supports continuous batching to increase throughput and lower latency

[2]huggingface.co/docs/transformers/main/serve-cli/serving
Limitation

Not recommended for large-scale production deployments; vLLM or SGLang with a Transformer backend is suggested instead

[2]huggingface.co/docs/transformers/main/serve-cli/serving
Model

openai/gpt-oss-20b

[3]huggingface.co/models
Capability

Text Generation

[3]huggingface.co/models
Parameter count

22B

[3]huggingface.co/models
Quantization

8-bit precision

[3]huggingface.co/models
Platform

Hugging Face

[3]huggingface.co/models
Release date

Aug 26, 2025

[3]huggingface.co/models
Model

openai/gpt-oss-20b

[4]huggingface.co/models
Modality

Text Generation

[4]huggingface.co/models
Parameter count

22B

[4]huggingface.co/models
Quantization

mxfp4 (4-bit precision)

[4]huggingface.co/models
Deployment

Available via multiple inference providers including Groq, Novita, Cerebras, Nscale, fal-ai, Together, Fireworks AI, Featherless AI, Zai, Replicate, Cohere, Scaleway, Public AI, Baseten, OVHcloud, HF Inference, DeepInfra, and WaveSpeed

[4]huggingface.co/models
Model

openai/gpt-oss-20b is marked as Inference Available and Base model

[4]huggingface.co/models
Api

Exposed via HF Inference API and third-party inference providers (groq, cerebras, together, replicate, deepinfra, etc.)

[6]huggingface.co/models
Practical capabilities

What it helps with

8 documented areas

A concise view of the jobs, capabilities and integrations described in the recorded product sources.

Use case

Text generation tasks

Use case

Local or self-hosted model serving with the transformers serve CLI

Use case

Inference via Hugging Face Inference API and third-party providers

Use case

Moderate-load production testing

Use case

Multi-provider inference routing

Use case

Evaluation, experimentation, and moderate load deployments

Capability

continuous batching to increase throughput and lower latency

Capability

Text Generation

Availability

Where it runs and where to get it

Source checked

Documented product formats, platforms and official distribution destinations. Availability can vary by region and plan.

Cost / license

Hugging Face offers paid upgrades for user or organization accounts.

Platforms

Hugging FaceHugging Face provides Services including Models, Datasets, Spaces, Buckets, Docs, Inferenc
Implementation details

Adoption notes

DeploymentLightweight local or self-hosted server option · Avoids the extra runtime and operational overhead of dedicated inference engines like vLLM · Available via multiple inference providers including Groq, Novita, Cerebras, Nscale, fal-a
LicenseNot disclosed by source
Model supportopenai/gpt-oss-20b · openai/gpt-oss-20b is marked as Inference Available and Base model
Data controlPrivacy Policy effective date is March 28, 2023. · Hugging Face collects Personal Information directly provided by Users, including email add · Payment information, including credit card details, is collected when users decide to upgr · The Company collects communications between users and the Company as part of using the Ser · Users may share information or content publicly or privately; publicly shared content can
Learning curveIntermediate
Primary use casesText generation tasks, Local or self-hosted model serving with the transformers serve CLI, Inference via Hugging Face Inference API and third-party providers, Moderate-load production testing, Multi-provider inference routing, Evaluation, experimentation, and moderate load deployments

What to verify before adopting

  • Not recommended for large-scale production deployments; vLLM or SGLang with a Transformer
Evolution and major updates

Gpt Oss 20b timeline

A concise history of software releases and material product changes. Events appear only when a dated source supports what changed.

1 dated update
Latest first · exact dates

Showing the newest updates and meaningful milestones. Open an entry for its summary and source.

  1. Release note

    Hugging Face repository published

    Open details

    The public model repository was created on Hugging Face. This repository date may differ from the model's original release date.

    View source [5]
Citation ledger

Recorded sources

16 unique pages

Facts, answers, structured details, milestones and primary resource links cite this shared ledger. Each external page appears once; release tags from the same GitHub project are grouped under one release history.

  1. 1huggingface.co/privacy 10 facts · 1 answer · Security
  2. 2huggingface.co/docs/transformers/main/serve-cli/serving 5 facts · 4 answers · Documentation
  3. 3huggingface.co/models 6 facts · 1 answer · Official site
  4. 4huggingface.co/models 6 facts · 1 answer · Official site
  5. 5huggingface.co/openai/gpt-oss-20b 5 facts · 1 milestone · Official site
  6. 6huggingface.co/models 1 fact · 1 answer · Official site
  7. 7huggingface.co/blog Official site
  8. 8huggingface.co/docs Documentation
  9. 9huggingface.co/docs/hub/eval-results Documentation
  10. 10huggingface.co/docs/inference-providers/index Documentation
  11. 11huggingface.co/docs/safetensors/index Documentation
  12. 12huggingface.co/inference/models Official site
  13. 13huggingface.co/models Official site
  14. 14huggingface.co/models Official site
  15. 15huggingface.co/pricing Pricing
  16. 16huggingface.co/support Official site
Research status32 substantive facts · 16 source pages · quality score 95/100