qw3vl2b_evq
Released by usr256864 in 2026, qw3vl2b_evq is an chat model. qw3vl2b_evq is an open-weights chat model.
by usr256864
Best for
- low-latency chat and routing
- request routing and triage
- text classification
Ways to use qw3vl2b_evq in osFoundry
Connect with your own key (BYOK)
Open the key dialog and paste your usr256864 API key. osFoundry discovers qw3vl2b_evq 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
qw3vl2b_evq 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.
qw3vl2b_evq vs similar models
Licence
Unspecified — Licence terms not specified — verify the upstream model card before commercial use.
Check upstream documentation.
Frequently asked about qw3vl2b_evq
Is qw3vl2b_evq free to use?
qw3vl2b_evq 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 qw3vl2b_evq 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 qw3vl2b_evq locally?
Yes. qw3vl2b_evq is open-weights and runs locally on a workstation GPU. osFoundry's local runtime handles model loading, quantisation, and routing.
What is qw3vl2b_evq best at?
qw3vl2b_evq is well-suited to low-latency chat and routing, request routing and triage, text classification.
How do I use qw3vl2b_evq in osFoundry?
Paste your usr256864 API key in the key dialog (or deploy the open weights for self-hostable models), assign qw3vl2b_evq to a Maestro role in the Pipeline tab, then use it in chat, Room Apps via invokeAI, or your own apps.
Published by usr256864 on May 11, 2026. Source: https://huggingface.co/usr256864/qw3vl2b_evq