Llama-3.2-3B_math
Llama-3.2-3B_math is a chat model from MergeBench, released May 14, 2025. Llama-3.2-3B_math is an open-weights chat model.
by MergeBench
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Ways to use Llama-3.2-3B_math in osFoundry
Connect with your own key (BYOK)
Open the key dialog and paste your MergeBench API key. osFoundry discovers Llama-3.2-3B_math 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_math 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_math 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_math
Is Llama-3.2-3B_math free to use?
Llama-3.2-3B_math 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_math 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_math locally?
Yes. Llama-3.2-3B_math 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_math best at?
Llama-3.2-3B_math is well-suited to text generation.
How do I use Llama-3.2-3B_math in osFoundry?
Paste your MergeBench API key in the key dialog (or deploy the open weights for self-hostable models), assign Llama-3.2-3B_math to a Maestro role in the Pipeline tab, then use it in chat, Room Apps via invokeAI, or your own apps.
Published by MergeBench on May 14, 2025. Source: https://huggingface.co/MergeBench/Llama-3.2-3B_math