nli-implementation
Released by startificial in 2025, nli-implementation is an chat model. nli-implementation is an open-weights chat model.
by startificial
Best for
Ways to use nli-implementation in osFoundry
Connect with your own key (BYOK)
Open the key dialog and paste your startificial API key. osFoundry discovers nli-implementation 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
nli-implementation 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.
nli-implementation vs similar models
Licence
Unspecified — Licence terms not specified — verify the upstream model card before commercial use.
Check upstream documentation.
Frequently asked about nli-implementation
Is nli-implementation free to use?
nli-implementation 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 nli-implementation 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 nli-implementation locally?
Yes. nli-implementation is open-weights and runs locally on a workstation GPU. osFoundry's local runtime handles model loading, quantisation, and routing.
What is nli-implementation best at?
nli-implementation is well-suited to zero shot classification.
How do I use nli-implementation in osFoundry?
Paste your startificial API key in the key dialog (or deploy the open weights for self-hostable models), assign nli-implementation to a Maestro role in the Pipeline tab, then use it in chat, Room Apps via invokeAI, or your own apps.
Published by startificial on April 9, 2025. Source: https://huggingface.co/startificial/nli-implementation