684kjbrk
Released by yunhuijang in 2024, 684kjbrk is an chat model. 684kjbrk is an open-weights chat model.
by yunhuijang
Best for
- low-latency chat and routing
- request routing and triage
- text classification
Ways to use 684kjbrk in osFoundry
Connect with your own key (BYOK)
Open the key dialog and paste your yunhuijang API key. osFoundry discovers 684kjbrk 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
684kjbrk 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.
684kjbrk vs similar models
Licence
Unspecified — Licence terms not specified — verify the upstream model card before commercial use.
Check upstream documentation.
Frequently asked about 684kjbrk
Is 684kjbrk free to use?
684kjbrk 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 684kjbrk 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 684kjbrk locally?
Yes. 684kjbrk is open-weights and runs locally on a workstation GPU. osFoundry's local runtime handles model loading, quantisation, and routing.
What is 684kjbrk best at?
684kjbrk is well-suited to low-latency chat and routing, request routing and triage, text classification.
How do I use 684kjbrk in osFoundry?
Paste your yunhuijang API key in the key dialog (or deploy the open weights for self-hostable models), assign 684kjbrk to a Maestro role in the Pipeline tab, then use it in chat, Room Apps via invokeAI, or your own apps.
Published by yunhuijang on August 21, 2024. Source: https://huggingface.co/yunhuijang/684kjbrk