Phi-4-mini-instruct-parq-2w-4e-shared
Released by pytorch in 2025, Phi-4-mini-instruct-parq-2w-4e-shared is an chat model. Phi-4-mini-instruct-parq-2w-4e-shared is an open-weights chat model.
by pytorch
Best for
Ways to use Phi-4-mini-instruct-parq-2w-4e-shared in osFoundry
Connect with your own key (BYOK)
Open the key dialog and paste your pytorch API key. osFoundry discovers Phi-4-mini-instruct-parq-2w-4e-shared 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
Phi-4-mini-instruct-parq-2w-4e-shared 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.
Phi-4-mini-instruct-parq-2w-4e-shared vs similar models
Licence
Unspecified — Licence terms not specified — verify the upstream model card before commercial use.
Check upstream documentation.
Frequently asked about Phi-4-mini-instruct-parq-2w-4e-shared
Is Phi-4-mini-instruct-parq-2w-4e-shared free to use?
Phi-4-mini-instruct-parq-2w-4e-shared 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 Phi-4-mini-instruct-parq-2w-4e-shared 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 Phi-4-mini-instruct-parq-2w-4e-shared locally?
Yes. Phi-4-mini-instruct-parq-2w-4e-shared is open-weights and runs locally on a workstation GPU. osFoundry's local runtime handles model loading, quantisation, and routing.
What is Phi-4-mini-instruct-parq-2w-4e-shared best at?
Phi-4-mini-instruct-parq-2w-4e-shared is well-suited to text generation.
How do I use Phi-4-mini-instruct-parq-2w-4e-shared in osFoundry?
Paste your pytorch API key in the key dialog (or deploy the open weights for self-hostable models), assign Phi-4-mini-instruct-parq-2w-4e-shared to a Maestro role in the Pipeline tab, then use it in chat, Room Apps via invokeAI, or your own apps.
Published by pytorch on December 3, 2025. Source: https://huggingface.co/pytorch/Phi-4-mini-instruct-parq-2w-4e-shared