gte-base-en-v1.5
Built by Alibaba-NLP, gte-base-en-v1.5 is an embedding model. gte-base-en-v1.5 is an open-weights embed model.
by Alibaba-NLP
Best for
Ways to use gte-base-en-v1.5 in osFoundry
Connect with your own key (BYOK)
Open the key dialog and paste your Alibaba-NLP API key. osFoundry discovers gte-base-en-v1.5 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
gte-base-en-v1.5 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.
gte-base-en-v1.5 vs similar models
Licence
Unspecified — Licence terms not specified — verify the upstream model card before commercial use.
Check upstream documentation.
Frequently asked about gte-base-en-v1.5
Is gte-base-en-v1.5 free to use?
gte-base-en-v1.5 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 gte-base-en-v1.5 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 gte-base-en-v1.5 locally?
Yes. gte-base-en-v1.5 is open-weights and runs locally on a workstation GPU. osFoundry's local runtime handles model loading, quantisation, and routing.
What is gte-base-en-v1.5 best at?
gte-base-en-v1.5 is well-suited to sentence similarity.
How do I use gte-base-en-v1.5 in osFoundry?
Paste your Alibaba-NLP API key in the key dialog (or deploy the open weights for self-hostable models), assign gte-base-en-v1.5 to a Maestro role in the Pipeline tab, then use it in chat, Room Apps via invokeAI, or your own apps.
Published by Alibaba-NLP on April 20, 2024. Source: https://huggingface.co/Alibaba-NLP/gte-base-en-v1.5