tapas-large-nq-hn-reader
tapas-large-nq-hn-reader is a chat model from deepset, released March 2, 2022. tapas-large-nq-hn-reader is an open-weights chat model.
by deepset
Best for
- low-latency chat and routing
- request routing and triage
- text classification
Ways to use tapas-large-nq-hn-reader in osFoundry
Connect with your own key (BYOK)
Open the key dialog and paste your deepset API key. osFoundry discovers tapas-large-nq-hn-reader 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
tapas-large-nq-hn-reader 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.
tapas-large-nq-hn-reader vs similar models
Licence
Unspecified — Licence terms not specified — verify the upstream model card before commercial use.
Check upstream documentation.
Frequently asked about tapas-large-nq-hn-reader
Is tapas-large-nq-hn-reader free to use?
tapas-large-nq-hn-reader 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 tapas-large-nq-hn-reader 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 tapas-large-nq-hn-reader locally?
Yes. tapas-large-nq-hn-reader is open-weights and runs locally on a workstation GPU. osFoundry's local runtime handles model loading, quantisation, and routing.
What is tapas-large-nq-hn-reader best at?
tapas-large-nq-hn-reader is well-suited to low-latency chat and routing, request routing and triage, text classification.
How do I use tapas-large-nq-hn-reader in osFoundry?
Paste your deepset API key in the key dialog (or deploy the open weights for self-hostable models), assign tapas-large-nq-hn-reader to a Maestro role in the Pipeline tab, then use it in chat, Room Apps via invokeAI, or your own apps.
Published by deepset on March 2, 2022. Source: https://huggingface.co/deepset/tapas-large-nq-hn-reader