hal9000
hal9000 (michaelwaves, 2025) is an chat model. hal9000 is an open-weights chat model.
by michaelwaves
Best for
- low-latency chat and routing
- request routing and triage
- text classification
Ways to use hal9000 in osFoundry
Connect with your own key (BYOK)
Open the key dialog and paste your michaelwaves API key. osFoundry discovers hal9000 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
hal9000 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.
hal9000 vs similar models
Licence
Unspecified — Licence terms not specified — verify the upstream model card before commercial use.
Check upstream documentation.
Frequently asked about hal9000
Is hal9000 free to use?
hal9000 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 hal9000 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 hal9000 locally?
Yes. hal9000 is open-weights and runs locally on a workstation GPU. osFoundry's local runtime handles model loading, quantisation, and routing.
What is hal9000 best at?
hal9000 is well-suited to low-latency chat and routing, request routing and triage, text classification.
How do I use hal9000 in osFoundry?
Paste your michaelwaves API key in the key dialog (or deploy the open weights for self-hostable models), assign hal9000 to a Maestro role in the Pipeline tab, then use it in chat, Room Apps via invokeAI, or your own apps.
Published by michaelwaves on September 23, 2025. Source: https://huggingface.co/michaelwaves/hal9000