CloverLM
Built by daslab-testing, CloverLM is an chat model. CloverLM is an open-weights chat model.
by daslab-testing
Best for
Ways to use CloverLM in osFoundry
Connect with your own key (BYOK)
Open the key dialog and paste your daslab-testing API key. osFoundry discovers CloverLM 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
CloverLM 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.
CloverLM vs similar models
Licence
Unspecified — Licence terms not specified — verify the upstream model card before commercial use.
Check upstream documentation.
Frequently asked about CloverLM
Is CloverLM free to use?
CloverLM 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 CloverLM 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 CloverLM locally?
Yes. CloverLM is open-weights and runs locally on a workstation GPU. osFoundry's local runtime handles model loading, quantisation, and routing.
What is CloverLM best at?
CloverLM is well-suited to text generation.
How do I use CloverLM in osFoundry?
Paste your daslab-testing API key in the key dialog (or deploy the open weights for self-hostable models), assign CloverLM to a Maestro role in the Pipeline tab, then use it in chat, Room Apps via invokeAI, or your own apps.
Published by daslab-testing on March 19, 2026. Source: https://huggingface.co/daslab-testing/CloverLM