SSLAM_pretrain
ta012's SSLAM_pretrain is a embedding model. SSLAM_pretrain is an open-weights embed model.
by ta012
Best for
Ways to use SSLAM_pretrain in osFoundry
Connect with your own key (BYOK)
Open the key dialog and paste your ta012 API key. osFoundry discovers SSLAM_pretrain 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
SSLAM_pretrain 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.
SSLAM_pretrain vs similar models
Licence
Unspecified — Licence terms not specified — verify the upstream model card before commercial use.
Check upstream documentation.
Frequently asked about SSLAM_pretrain
Is SSLAM_pretrain free to use?
SSLAM_pretrain 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 SSLAM_pretrain 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 SSLAM_pretrain locally?
Yes. SSLAM_pretrain is open-weights and runs locally on a workstation GPU. osFoundry's local runtime handles model loading, quantisation, and routing.
What is SSLAM_pretrain best at?
SSLAM_pretrain is well-suited to feature extraction.
How do I use SSLAM_pretrain in osFoundry?
Paste your ta012 API key in the key dialog (or deploy the open weights for self-hostable models), assign SSLAM_pretrain to a Maestro role in the Pipeline tab, then use it in chat, Room Apps via invokeAI, or your own apps.
Published by ta012 on September 29, 2025. Source: https://huggingface.co/ta012/SSLAM_pretrain