qwen3.5_v4
Built by akira435, qwen3.5_v4 is an chat model. qwen3.5_v4 is an open-weights chat model.
by akira435
Best for
- low-latency chat and routing
- request routing and triage
- text classification
Ways to use qwen3.5_v4 in osFoundry
Connect with your own key (BYOK)
Open the key dialog and paste your akira435 API key. osFoundry discovers qwen3.5_v4 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
qwen3.5_v4 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.
qwen3.5_v4 vs similar models
Licence
Unspecified — Licence terms not specified — verify the upstream model card before commercial use.
Check upstream documentation.
Frequently asked about qwen3.5_v4
Is qwen3.5_v4 free to use?
qwen3.5_v4 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 qwen3.5_v4 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 qwen3.5_v4 locally?
Yes. qwen3.5_v4 is open-weights and runs locally on a workstation GPU. osFoundry's local runtime handles model loading, quantisation, and routing.
What is qwen3.5_v4 best at?
qwen3.5_v4 is well-suited to low-latency chat and routing, request routing and triage, text classification.
How do I use qwen3.5_v4 in osFoundry?
Paste your akira435 API key in the key dialog (or deploy the open weights for self-hostable models), assign qwen3.5_v4 to a Maestro role in the Pipeline tab, then use it in chat, Room Apps via invokeAI, or your own apps.
Published by akira435 on April 10, 2026. Source: https://huggingface.co/akira435/qwen3.5_v4