gpt-oss-20b-dequantized
axolotl-ai-co's gpt-oss-20b-dequantized packs 20 billion parameters into a chat model. gpt-oss-20b-dequantized is an open-weights chat model with roughly 20 billion parameters.
by axolotl-ai-co · 20B parameters
Best for
Ways to use gpt-oss-20b-dequantized in osFoundry
Connect with your own key (BYOK)
Open the key dialog and paste your axolotl-ai-co API key. osFoundry discovers gpt-oss-20b-dequantized automatically — assign it to a Maestro role (router, direct, orchestrator, or fallback) in the Pipeline tab and it is live in every chat. Your key, your provider account — no token markup.
Deploy a dedicated endpoint
gpt-oss-20b-dequantized is open-weights — run it locally for free, or deploy a dedicated GPU endpoint in your workspace for reserved capacity with no rate limits.
Use it in a Room App
Room Apps declare AI features in their manifest, then call them with invokeAI:
import { invokeAI } from '@osfoundry/app-sdk'
// 'summarize' is an AI feature declared in your app manifest.
const result = await invokeAI('summarize', userText)
Call it from your own apps
Once a model is wired into your workspace you can host it as an API and reach it from your own services, scripts, or CI — outside osFoundry.
What hardware can run gpt-oss-20b-dequantized
gpt-oss-20b-dequantized runs on a single 16GB consumer GPU (~12 GB VRAM with KV-cache headroom). Full-precision inference fits on a single H100 80GB at FP16 precision (~48 GB).
gpt-oss-20b-dequantized vs similar models
Licence
Unspecified — Licence terms not specified — verify the upstream model card before commercial use.
Check upstream documentation.
Frequently asked about gpt-oss-20b-dequantized
Is gpt-oss-20b-dequantized free to use?
gpt-oss-20b-dequantized is free to run locally on your own hardware. Hosted access through osFoundry is metered (input Free (local), output Free (local)). You can switch between local and hosted at any time.
Can I use gpt-oss-20b-dequantized commercially?
Commercial use is allowed with conditions. Licence terms not specified — verify the upstream model card before commercial use. Check upstream documentation.
How much VRAM does gpt-oss-20b-dequantized need?
Approximately 12 GB at Q4 quantisation, or 48 GB at full FP16 precision. Fits on a single 24GB consumer GPU.
Can I run gpt-oss-20b-dequantized locally?
Yes. gpt-oss-20b-dequantized is open-weights and runs locally on a workstation GPU. osFoundry's local runtime handles model loading, quantisation, and routing.
What is gpt-oss-20b-dequantized best at?
gpt-oss-20b-dequantized is well-suited to text generation.
How do I use gpt-oss-20b-dequantized in osFoundry?
Paste your axolotl-ai-co API key in the key dialog (or deploy the open weights for self-hostable models), assign gpt-oss-20b-dequantized to a Maestro role in the Pipeline tab, then use it in chat, Room Apps via invokeAI, or your own apps.
Published by axolotl-ai-co on August 6, 2025. Source: https://huggingface.co/axolotl-ai-co/gpt-oss-20b-dequantized