qwen_sql_lora
ProGs45's qwen_sql_lora is a chat model. qwen_sql_lora is an open-weights chat model.
by ProGs45
Best for
Ways to use qwen_sql_lora in osFoundry
Connect with your own key (BYOK)
Open the key dialog and paste your ProGs45 API key. osFoundry discovers qwen_sql_lora 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
qwen_sql_lora 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.
qwen_sql_lora vs similar models
Licence
Unspecified — Licence terms not specified — verify the upstream model card before commercial use.
Check upstream documentation.
Frequently asked about qwen_sql_lora
Is qwen_sql_lora free to use?
qwen_sql_lora 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 qwen_sql_lora 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 qwen_sql_lora locally?
Yes. qwen_sql_lora is open-weights and runs locally on a workstation GPU. osFoundry's local runtime handles model loading, quantisation, and routing.
What is qwen_sql_lora best at?
qwen_sql_lora is well-suited to text generation.
How do I use qwen_sql_lora in osFoundry?
Paste your ProGs45 API key in the key dialog (or deploy the open weights for self-hostable models), assign qwen_sql_lora to a Maestro role in the Pipeline tab, then use it in chat, Room Apps via invokeAI, or your own apps.
Published by ProGs45 on May 3, 2026. Source: https://huggingface.co/ProGs45/qwen_sql_lora