training_Llama3.2_3B_merged
studyt's training_Llama3.2_3B_merged is a chat model. training_Llama3.2_3B_merged is an open-weights chat model.
by studyt
Best for
Ways to use training_Llama3.2_3B_merged in osFoundry
Connect with your own key (BYOK)
Open the key dialog and paste your studyt API key. osFoundry discovers training_Llama3.2_3B_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
training_Llama3.2_3B_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.
training_Llama3.2_3B_merged vs similar models
Licence
Unspecified — Licence terms not specified — verify the upstream model card before commercial use.
Check upstream documentation.
Frequently asked about training_Llama3.2_3B_merged
Is training_Llama3.2_3B_merged free to use?
training_Llama3.2_3B_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 training_Llama3.2_3B_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 training_Llama3.2_3B_merged locally?
Yes. training_Llama3.2_3B_merged is open-weights and runs locally on a workstation GPU. osFoundry's local runtime handles model loading, quantisation, and routing.
What is training_Llama3.2_3B_merged best at?
training_Llama3.2_3B_merged is well-suited to text generation.
How do I use training_Llama3.2_3B_merged in osFoundry?
Paste your studyt API key in the key dialog (or deploy the open weights for self-hostable models), assign training_Llama3.2_3B_merged to a Maestro role in the Pipeline tab, then use it in chat, Room Apps via invokeAI, or your own apps.
Published by studyt on May 2, 2026. Source: https://huggingface.co/studyt/training_Llama3.2_3B_merged