electrical-embeddinggemma-ir_q5_k_m
electrical-embeddinggemma-ir_q5_k_m is a embedding model from disham993, released April 18, 2026. electrical-embeddinggemma-ir_q5_k_m is an open-weights embed model.
by disham993
Best for
Ways to use electrical-embeddinggemma-ir_q5_k_m in osFoundry
Connect with your own key (BYOK)
Open the key dialog and paste your disham993 API key. osFoundry discovers electrical-embeddinggemma-ir_q5_k_m 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
electrical-embeddinggemma-ir_q5_k_m 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.
electrical-embeddinggemma-ir_q5_k_m vs similar models
Licence
Unspecified — Licence terms not specified — verify the upstream model card before commercial use.
Check upstream documentation.
Frequently asked about electrical-embeddinggemma-ir_q5_k_m
Is electrical-embeddinggemma-ir_q5_k_m free to use?
electrical-embeddinggemma-ir_q5_k_m 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 electrical-embeddinggemma-ir_q5_k_m 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 electrical-embeddinggemma-ir_q5_k_m locally?
Yes. electrical-embeddinggemma-ir_q5_k_m is open-weights and runs locally on a workstation GPU. osFoundry's local runtime handles model loading, quantisation, and routing.
What is electrical-embeddinggemma-ir_q5_k_m best at?
electrical-embeddinggemma-ir_q5_k_m is well-suited to feature extraction.
How do I use electrical-embeddinggemma-ir_q5_k_m in osFoundry?
Paste your disham993 API key in the key dialog (or deploy the open weights for self-hostable models), assign electrical-embeddinggemma-ir_q5_k_m to a Maestro role in the Pipeline tab, then use it in chat, Room Apps via invokeAI, or your own apps.
Published by disham993 on April 18, 2026. Source: https://huggingface.co/disham993/electrical-embeddinggemma-ir_q5_k_m