AgenticQwen-30B-A3B
alibaba-pai's AgenticQwen-30B-A3B packs 30 billion parameters into a chat model. AgenticQwen-30B-A3B is an open-weights chat model with roughly 30 billion parameters.
by alibaba-pai · 30B parameters
Best for
- low-latency chat and routing
- request routing and triage
- text classification
Ways to use AgenticQwen-30B-A3B in osFoundry
Connect with your own key (BYOK)
Open the key dialog and paste your alibaba-pai API key. osFoundry discovers AgenticQwen-30B-A3B 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
AgenticQwen-30B-A3B 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.
What hardware can run AgenticQwen-30B-A3B
AgenticQwen-30B-A3B runs on a 24GB consumer or workstation GPU (~18 GB VRAM with KV-cache headroom). Full-precision inference fits on a single H100 80GB at FP16 precision (~72 GB).
AgenticQwen-30B-A3B vs similar models
Licence
Unspecified — Licence terms not specified — verify the upstream model card before commercial use.
Check upstream documentation.
Frequently asked about AgenticQwen-30B-A3B
Is AgenticQwen-30B-A3B free to use?
AgenticQwen-30B-A3B 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 AgenticQwen-30B-A3B commercially?
Commercial use is allowed with conditions. Licence terms not specified — verify the upstream model card before commercial use. Check upstream documentation.
How much VRAM does AgenticQwen-30B-A3B need?
Approximately 18 GB at Q4 quantisation, or 72 GB at full FP16 precision. Fits on a single 24GB consumer GPU.
Can I run AgenticQwen-30B-A3B locally?
Yes. AgenticQwen-30B-A3B is open-weights and runs locally on a workstation GPU. osFoundry's local runtime handles model loading, quantisation, and routing.
What is AgenticQwen-30B-A3B best at?
AgenticQwen-30B-A3B is well-suited to low-latency chat and routing, request routing and triage, text classification.
How do I use AgenticQwen-30B-A3B in osFoundry?
Paste your alibaba-pai API key in the key dialog (or deploy the open weights for self-hostable models), assign AgenticQwen-30B-A3B to a Maestro role in the Pipeline tab, then use it in chat, Room Apps via invokeAI, or your own apps.
Published by alibaba-pai on March 16, 2026. Source: https://huggingface.co/alibaba-pai/AgenticQwen-30B-A3B