oneai-1-35m
Released by onedevelopment in 2026, oneai-1-35m is an chat model. oneai-1-35m is an open-weights chat model.
by onedevelopment
Best for
Ways to use oneai-1-35m in osFoundry
Connect with your own key (BYOK)
Open the key dialog and paste your onedevelopment API key. osFoundry discovers oneai-1-35m 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
oneai-1-35m 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.
oneai-1-35m vs similar models
Licence
Unspecified — Licence terms not specified — verify the upstream model card before commercial use.
Check upstream documentation.
Frequently asked about oneai-1-35m
Is oneai-1-35m free to use?
oneai-1-35m 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 oneai-1-35m commercially?
Commercial use is allowed with conditions. Licence terms not specified — verify the upstream model card before commercial use. Check upstream documentation.
Can I run oneai-1-35m locally?
Yes. oneai-1-35m is open-weights and runs locally on a workstation GPU. osFoundry's local runtime handles model loading, quantisation, and routing.
What is oneai-1-35m best at?
oneai-1-35m is well-suited to text generation.
How do I use oneai-1-35m in osFoundry?
Paste your onedevelopment API key in the key dialog (or deploy the open weights for self-hostable models), assign oneai-1-35m to a Maestro role in the Pipeline tab, then use it in chat, Room Apps via invokeAI, or your own apps.
Published by onedevelopment on April 19, 2026. Source: https://huggingface.co/onedevelopment/oneai-1-35m