lora_recycle_qwen
lora_recycle_qwen is a chat model from jjee2, released April 15, 2026. lora_recycle_qwen is an open-weights chat model.
by jjee2
Best for
- low-latency chat and routing
- request routing and triage
- text classification
Ways to use lora_recycle_qwen in osFoundry
Connect with your own key (BYOK)
Open the key dialog and paste your jjee2 API key. osFoundry discovers lora_recycle_qwen 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
lora_recycle_qwen 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.
lora_recycle_qwen vs similar models
Licence
Unspecified — Licence terms not specified — verify the upstream model card before commercial use.
Check upstream documentation.
Frequently asked about lora_recycle_qwen
Is lora_recycle_qwen free to use?
lora_recycle_qwen 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 lora_recycle_qwen 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 lora_recycle_qwen locally?
Yes. lora_recycle_qwen is open-weights and runs locally on a workstation GPU. osFoundry's local runtime handles model loading, quantisation, and routing.
What is lora_recycle_qwen best at?
lora_recycle_qwen is well-suited to low-latency chat and routing, request routing and triage, text classification.
How do I use lora_recycle_qwen in osFoundry?
Paste your jjee2 API key in the key dialog (or deploy the open weights for self-hostable models), assign lora_recycle_qwen to a Maestro role in the Pipeline tab, then use it in chat, Room Apps via invokeAI, or your own apps.
Published by jjee2 on April 15, 2026. Source: https://huggingface.co/jjee2/lora_recycle_qwen