gLM2_650M
tattabio's gLM2_650M is a chat model. gLM2_650M is an open-weights chat model.
by tattabio
Best for
- low-latency chat and routing
- request routing and triage
- text classification
Ways to use gLM2_650M in osFoundry
Connect with your own key (BYOK)
Open the key dialog and paste your tattabio API key. osFoundry discovers gLM2_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
gLM2_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.
gLM2_650M vs similar models
Licence
Unspecified — Licence terms not specified — verify the upstream model card before commercial use.
Check upstream documentation.
Frequently asked about gLM2_650M
Is gLM2_650M free to use?
gLM2_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 gLM2_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 gLM2_650M locally?
Yes. gLM2_650M is open-weights and runs locally on a workstation GPU. osFoundry's local runtime handles model loading, quantisation, and routing.
What is gLM2_650M best at?
gLM2_650M is well-suited to low-latency chat and routing, request routing and triage, text classification.
How do I use gLM2_650M in osFoundry?
Paste your tattabio API key in the key dialog (or deploy the open weights for self-hostable models), assign gLM2_650M to a Maestro role in the Pipeline tab, then use it in chat, Room Apps via invokeAI, or your own apps.
Published by tattabio on September 23, 2024. Source: https://huggingface.co/tattabio/gLM2_650M