qwen_4b_merged
HuggingfaceSharanya's qwen_4b_merged is a chat model. qwen_4b_merged is an open-weights chat model.
by HuggingfaceSharanya
Best for
Ways to use qwen_4b_merged in osFoundry
Connect with your own key (BYOK)
Open the key dialog and paste your HuggingfaceSharanya API key. osFoundry discovers qwen_4b_merged 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_4b_merged 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_4b_merged vs similar models
| Model | Org | Params | Context | Input price | Self-host |
|---|
| qwen_4b_merged | HuggingfaceSharanya | — | — | Free (local) | Yes |
| DPO_hh-seed4 | Kyleyee | — | — | Free (local) | Yes |
| bge-small-en-v1.5-ner | Nastik05 | — | — | Free (local) | Yes |
| GLM-5.1 | MuVeraAI | — | — | Free (local) | Yes |
Licence
Unspecified — Licence terms not specified — verify the upstream model card before commercial use.
Check upstream documentation.
Frequently asked about qwen_4b_merged
Is qwen_4b_merged free to use?
qwen_4b_merged 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_4b_merged 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_4b_merged locally?
Yes. qwen_4b_merged is open-weights and runs locally on a workstation GPU. osFoundry's local runtime handles model loading, quantisation, and routing.
What is qwen_4b_merged best at?
qwen_4b_merged is well-suited to text generation.
How do I use qwen_4b_merged in osFoundry?
Paste your HuggingfaceSharanya API key in the key dialog (or deploy the open weights for self-hostable models), assign qwen_4b_merged to a Maestro role in the Pipeline tab, then use it in chat, Room Apps via invokeAI, or your own apps.
Published by HuggingfaceSharanya on April 23, 2026. Source: https://huggingface.co/HuggingfaceSharanya/qwen_4b_merged