fasttext-quality-score
fasttext-quality-score is a chat model from lapa-llm, released September 14, 2025. fasttext-quality-score is an open-weights chat model.
by lapa-llm
Best for
Ways to use fasttext-quality-score in osFoundry
Connect with your own key (BYOK)
Open the key dialog and paste your lapa-llm API key. osFoundry discovers fasttext-quality-score 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
fasttext-quality-score 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.
fasttext-quality-score vs similar models
Licence
Unspecified — Licence terms not specified — verify the upstream model card before commercial use.
Check upstream documentation.
Frequently asked about fasttext-quality-score
Is fasttext-quality-score free to use?
fasttext-quality-score 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 fasttext-quality-score 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 fasttext-quality-score locally?
Yes. fasttext-quality-score is open-weights and runs locally on a workstation GPU. osFoundry's local runtime handles model loading, quantisation, and routing.
What is fasttext-quality-score best at?
fasttext-quality-score is well-suited to text classification.
How do I use fasttext-quality-score in osFoundry?
Paste your lapa-llm API key in the key dialog (or deploy the open weights for self-hostable models), assign fasttext-quality-score to a Maestro role in the Pipeline tab, then use it in chat, Room Apps via invokeAI, or your own apps.
Published by lapa-llm on September 14, 2025. Source: https://huggingface.co/lapa-llm/fasttext-quality-score