qwen3_4b_thinking_2507_sft_enrolled
pihull's qwen3_4b_thinking_2507_sft_enrolled is a chat model. qwen3_4b_thinking_2507_sft_enrolled is an open-weights chat model.
by pihull
Best for
Ways to use qwen3_4b_thinking_2507_sft_enrolled in osFoundry
Connect with your own key (BYOK)
Open the key dialog and paste your pihull API key. osFoundry discovers qwen3_4b_thinking_2507_sft_enrolled 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
qwen3_4b_thinking_2507_sft_enrolled 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.
qwen3_4b_thinking_2507_sft_enrolled vs similar models
Licence
Unspecified — Licence terms not specified — verify the upstream model card before commercial use.
Check upstream documentation.
Frequently asked about qwen3_4b_thinking_2507_sft_enrolled
Is qwen3_4b_thinking_2507_sft_enrolled free to use?
qwen3_4b_thinking_2507_sft_enrolled 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 qwen3_4b_thinking_2507_sft_enrolled 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 qwen3_4b_thinking_2507_sft_enrolled locally?
Yes. qwen3_4b_thinking_2507_sft_enrolled is open-weights and runs locally on a workstation GPU. osFoundry's local runtime handles model loading, quantisation, and routing.
What is qwen3_4b_thinking_2507_sft_enrolled best at?
qwen3_4b_thinking_2507_sft_enrolled is well-suited to text generation.
How do I use qwen3_4b_thinking_2507_sft_enrolled in osFoundry?
Paste your pihull API key in the key dialog (or deploy the open weights for self-hostable models), assign qwen3_4b_thinking_2507_sft_enrolled to a Maestro role in the Pipeline tab, then use it in chat, Room Apps via invokeAI, or your own apps.
Published by pihull on April 21, 2026. Source: https://huggingface.co/pihull/qwen3_4b_thinking_2507_sft_enrolled