LENS-d8000
LENS-d8000 is a embedding model from yibinlei, released December 30, 2024. LENS-d8000 is an open-weights embed model.
by yibinlei
Best for
Ways to use LENS-d8000 in osFoundry
Connect with your own key (BYOK)
Open the key dialog and paste your yibinlei API key. osFoundry discovers LENS-d8000 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
LENS-d8000 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.
LENS-d8000 vs similar models
Licence
Unspecified — Licence terms not specified — verify the upstream model card before commercial use.
Check upstream documentation.
Frequently asked about LENS-d8000
Is LENS-d8000 free to use?
LENS-d8000 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 LENS-d8000 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 LENS-d8000 locally?
Yes. LENS-d8000 is open-weights and runs locally on a workstation GPU. osFoundry's local runtime handles model loading, quantisation, and routing.
What is LENS-d8000 best at?
LENS-d8000 is well-suited to feature extraction.
How do I use LENS-d8000 in osFoundry?
Paste your yibinlei API key in the key dialog (or deploy the open weights for self-hostable models), assign LENS-d8000 to a Maestro role in the Pipeline tab, then use it in chat, Room Apps via invokeAI, or your own apps.
Published by yibinlei on December 30, 2024. Source: https://huggingface.co/yibinlei/LENS-d8000