qwen3_4b_base
Released by pphan720 in 2026, qwen3_4b_base is an chat model. qwen3_4b_base is an open-weights chat model.
by pphan720
Best for
- low-latency chat and routing
- request routing and triage
- text classification
Ways to use qwen3_4b_base in osFoundry
Connect with your own key (BYOK)
Open the key dialog and paste your pphan720 API key. osFoundry discovers qwen3_4b_base 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_4b_base 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_4b_base vs similar models
Licence
Unspecified — Licence terms not specified — verify the upstream model card before commercial use.
Check upstream documentation.
Frequently asked about qwen3_4b_base
Is qwen3_4b_base free to use?
qwen3_4b_base 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_4b_base 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_4b_base locally?
Yes. qwen3_4b_base is open-weights and runs locally on a workstation GPU. osFoundry's local runtime handles model loading, quantisation, and routing.
What is qwen3_4b_base best at?
qwen3_4b_base is well-suited to low-latency chat and routing, request routing and triage, text classification.
How do I use qwen3_4b_base in osFoundry?
Paste your pphan720 API key in the key dialog (or deploy the open weights for self-hostable models), assign qwen3_4b_base to a Maestro role in the Pipeline tab, then use it in chat, Room Apps via invokeAI, or your own apps.
Published by pphan720 on March 20, 2026. Source: https://huggingface.co/pphan720/qwen3_4b_base