qwen15-resume-parser
qwen15-resume-parser is a chat model from rakesh277, released April 25, 2026. qwen15-resume-parser is an open-weights chat model.
by rakesh277
Best for
Ways to use qwen15-resume-parser in osFoundry
Connect with your own key (BYOK)
Open the key dialog and paste your rakesh277 API key. osFoundry discovers qwen15-resume-parser 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
qwen15-resume-parser 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.
qwen15-resume-parser vs similar models
Licence
Unspecified — Licence terms not specified — verify the upstream model card before commercial use.
Check upstream documentation.
Frequently asked about qwen15-resume-parser
Is qwen15-resume-parser free to use?
qwen15-resume-parser 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 qwen15-resume-parser 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 qwen15-resume-parser locally?
Yes. qwen15-resume-parser is open-weights and runs locally on a workstation GPU. osFoundry's local runtime handles model loading, quantisation, and routing.
What is qwen15-resume-parser best at?
qwen15-resume-parser is well-suited to text generation.
How do I use qwen15-resume-parser in osFoundry?
Paste your rakesh277 API key in the key dialog (or deploy the open weights for self-hostable models), assign qwen15-resume-parser to a Maestro role in the Pipeline tab, then use it in chat, Room Apps via invokeAI, or your own apps.
Published by rakesh277 on April 25, 2026. Source: https://huggingface.co/rakesh277/qwen15-resume-parser