Llama_3.2_3B_Instruct_4bit_Generex
Built by Koutouzov1973, Llama_3.2_3B_Instruct_4bit_Generex is an chat model. Llama_3.2_3B_Instruct_4bit_Generex is an open-weights chat model.
by Koutouzov1973
Best for
Ways to use Llama_3.2_3B_Instruct_4bit_Generex in osFoundry
Connect with your own key (BYOK)
Open the key dialog and paste your Koutouzov1973 API key. osFoundry discovers Llama_3.2_3B_Instruct_4bit_Generex 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
Llama_3.2_3B_Instruct_4bit_Generex 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.
Llama_3.2_3B_Instruct_4bit_Generex vs similar models
Licence
Unspecified — Licence terms not specified — verify the upstream model card before commercial use.
Check upstream documentation.
Frequently asked about Llama_3.2_3B_Instruct_4bit_Generex
Is Llama_3.2_3B_Instruct_4bit_Generex free to use?
Llama_3.2_3B_Instruct_4bit_Generex 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 Llama_3.2_3B_Instruct_4bit_Generex 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 Llama_3.2_3B_Instruct_4bit_Generex locally?
Yes. Llama_3.2_3B_Instruct_4bit_Generex is open-weights and runs locally on a workstation GPU. osFoundry's local runtime handles model loading, quantisation, and routing.
What is Llama_3.2_3B_Instruct_4bit_Generex best at?
Llama_3.2_3B_Instruct_4bit_Generex is well-suited to text generation.
How do I use Llama_3.2_3B_Instruct_4bit_Generex in osFoundry?
Paste your Koutouzov1973 API key in the key dialog (or deploy the open weights for self-hostable models), assign Llama_3.2_3B_Instruct_4bit_Generex to a Maestro role in the Pipeline tab, then use it in chat, Room Apps via invokeAI, or your own apps.
Published by Koutouzov1973 on April 29, 2026. Source: https://huggingface.co/Koutouzov1973/Llama_3.2_3B_Instruct_4bit_Generex