LLaMa_3.2_3B_Catalysts
Released by qingy2024 in 2024, LLaMa_3.2_3B_Catalysts is an chat model. LLaMa_3.2_3B_Catalysts is an open-weights chat model.
by qingy2024
Best for
Ways to use LLaMa_3.2_3B_Catalysts in osFoundry
Connect with your own key (BYOK)
Open the key dialog and paste your qingy2024 API key. osFoundry discovers LLaMa_3.2_3B_Catalysts 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_Catalysts 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_Catalysts 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_Catalysts
Is LLaMa_3.2_3B_Catalysts free to use?
LLaMa_3.2_3B_Catalysts 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_Catalysts 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_Catalysts locally?
Yes. LLaMa_3.2_3B_Catalysts 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_Catalysts best at?
LLaMa_3.2_3B_Catalysts is well-suited to text generation.
How do I use LLaMa_3.2_3B_Catalysts in osFoundry?
Paste your qingy2024 API key in the key dialog (or deploy the open weights for self-hostable models), assign LLaMa_3.2_3B_Catalysts to a Maestro role in the Pipeline tab, then use it in chat, Room Apps via invokeAI, or your own apps.
Published by qingy2024 on October 19, 2024. Source: https://huggingface.co/qingy2024/LLaMa_3.2_3B_Catalysts