embeddinggemma-300m-trimmed-reindexing
Built by noname002, embeddinggemma-300m-trimmed-reindexing is an embedding model. embeddinggemma-300m-trimmed-reindexing is an open-weights embed model.
by noname002
Best for
Ways to use embeddinggemma-300m-trimmed-reindexing in osFoundry
Connect with your own key (BYOK)
Open the key dialog and paste your noname002 API key. osFoundry discovers embeddinggemma-300m-trimmed-reindexing 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
embeddinggemma-300m-trimmed-reindexing 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.
embeddinggemma-300m-trimmed-reindexing vs similar models
Licence
Unspecified — Licence terms not specified — verify the upstream model card before commercial use.
Check upstream documentation.
Frequently asked about embeddinggemma-300m-trimmed-reindexing
Is embeddinggemma-300m-trimmed-reindexing free to use?
embeddinggemma-300m-trimmed-reindexing 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 embeddinggemma-300m-trimmed-reindexing 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 embeddinggemma-300m-trimmed-reindexing locally?
Yes. embeddinggemma-300m-trimmed-reindexing is open-weights and runs locally on a workstation GPU. osFoundry's local runtime handles model loading, quantisation, and routing.
What is embeddinggemma-300m-trimmed-reindexing best at?
embeddinggemma-300m-trimmed-reindexing is well-suited to sentence similarity.
How do I use embeddinggemma-300m-trimmed-reindexing in osFoundry?
Paste your noname002 API key in the key dialog (or deploy the open weights for self-hostable models), assign embeddinggemma-300m-trimmed-reindexing to a Maestro role in the Pipeline tab, then use it in chat, Room Apps via invokeAI, or your own apps.
Published by noname002 on April 17, 2026. Source: https://huggingface.co/noname002/embeddinggemma-300m-trimmed-reindexing