LLaMmlein2Vec_120M
Released by LSX-UniWue in 2025, LLaMmlein2Vec_120M is an embedding model. LLaMmlein2Vec_120M is an open-weights embed model.
by LSX-UniWue
Best for
Ways to use LLaMmlein2Vec_120M in osFoundry
Connect with your own key (BYOK)
Open the key dialog and paste your LSX-UniWue API key. osFoundry discovers LLaMmlein2Vec_120M 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
LLaMmlein2Vec_120M 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.
LLaMmlein2Vec_120M vs similar models
Licence
Unspecified — Licence terms not specified — verify the upstream model card before commercial use.
Check upstream documentation.
Frequently asked about LLaMmlein2Vec_120M
Is LLaMmlein2Vec_120M free to use?
LLaMmlein2Vec_120M 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 LLaMmlein2Vec_120M 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 LLaMmlein2Vec_120M locally?
Yes. LLaMmlein2Vec_120M is open-weights and runs locally on a workstation GPU. osFoundry's local runtime handles model loading, quantisation, and routing.
What is LLaMmlein2Vec_120M best at?
LLaMmlein2Vec_120M is well-suited to feature extraction.
How do I use LLaMmlein2Vec_120M in osFoundry?
Paste your LSX-UniWue API key in the key dialog (or deploy the open weights for self-hostable models), assign LLaMmlein2Vec_120M to a Maestro role in the Pipeline tab, then use it in chat, Room Apps via invokeAI, or your own apps.
Published by LSX-UniWue on July 14, 2025. Source: https://huggingface.co/LSX-UniWue/LLaMmlein2Vec_120M