PepMLM-650M
Released by ChatterjeeLab in 2023, PepMLM-650M is an chat model. PepMLM-650M is an open-weights chat model.
by ChatterjeeLab
Best for
Ways to use PepMLM-650M in osFoundry
Connect with your own key (BYOK)
Open the key dialog and paste your ChatterjeeLab API key. osFoundry discovers PepMLM-650M 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
PepMLM-650M 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.
PepMLM-650M vs similar models
Licence
Unspecified — Licence terms not specified — verify the upstream model card before commercial use.
Check upstream documentation.
Frequently asked about PepMLM-650M
Is PepMLM-650M free to use?
PepMLM-650M 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 PepMLM-650M 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 PepMLM-650M locally?
Yes. PepMLM-650M is open-weights and runs locally on a workstation GPU. osFoundry's local runtime handles model loading, quantisation, and routing.
What is PepMLM-650M best at?
PepMLM-650M is well-suited to fill mask.
How do I use PepMLM-650M in osFoundry?
Paste your ChatterjeeLab API key in the key dialog (or deploy the open weights for self-hostable models), assign PepMLM-650M to a Maestro role in the Pipeline tab, then use it in chat, Room Apps via invokeAI, or your own apps.
Published by ChatterjeeLab on September 27, 2023. Source: https://huggingface.co/ChatterjeeLab/PepMLM-650M