medusa_llama_3_2_1b_3_heads
MegaLearner's medusa_llama_3_2_1b_3_heads is a chat model. medusa_llama_3_2_1b_3_heads is an open-weights chat model.
by MegaLearner
Best for
- low-latency chat and routing
- request routing and triage
- text classification
Ways to use medusa_llama_3_2_1b_3_heads in osFoundry
Connect with your own key (BYOK)
Open the key dialog and paste your MegaLearner API key. osFoundry discovers medusa_llama_3_2_1b_3_heads 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
medusa_llama_3_2_1b_3_heads 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.
medusa_llama_3_2_1b_3_heads vs similar models
Licence
Unspecified — Licence terms not specified — verify the upstream model card before commercial use.
Check upstream documentation.
Frequently asked about medusa_llama_3_2_1b_3_heads
Is medusa_llama_3_2_1b_3_heads free to use?
medusa_llama_3_2_1b_3_heads 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 medusa_llama_3_2_1b_3_heads 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 medusa_llama_3_2_1b_3_heads locally?
Yes. medusa_llama_3_2_1b_3_heads is open-weights and runs locally on a workstation GPU. osFoundry's local runtime handles model loading, quantisation, and routing.
What is medusa_llama_3_2_1b_3_heads best at?
medusa_llama_3_2_1b_3_heads is well-suited to low-latency chat and routing, request routing and triage, text classification.
How do I use medusa_llama_3_2_1b_3_heads in osFoundry?
Paste your MegaLearner API key in the key dialog (or deploy the open weights for self-hostable models), assign medusa_llama_3_2_1b_3_heads to a Maestro role in the Pipeline tab, then use it in chat, Room Apps via invokeAI, or your own apps.
Published by MegaLearner on June 23, 2025. Source: https://huggingface.co/MegaLearner/medusa_llama_3_2_1b_3_heads