7e62tq9m
Released by yunhuijang in 2024, 7e62tq9m is an chat model. 7e62tq9m is an open-weights chat model.
by yunhuijang
Best for
- low-latency chat and routing
- request routing and triage
- text classification
Ways to use 7e62tq9m in osFoundry
Connect with your own key (BYOK)
Open the key dialog and paste your yunhuijang API key. osFoundry discovers 7e62tq9m 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
7e62tq9m 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.
7e62tq9m vs similar models
Licence
Unspecified — Licence terms not specified — verify the upstream model card before commercial use.
Check upstream documentation.
Frequently asked about 7e62tq9m
Is 7e62tq9m free to use?
7e62tq9m 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 7e62tq9m 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 7e62tq9m locally?
Yes. 7e62tq9m is open-weights and runs locally on a workstation GPU. osFoundry's local runtime handles model loading, quantisation, and routing.
What is 7e62tq9m best at?
7e62tq9m is well-suited to low-latency chat and routing, request routing and triage, text classification.
How do I use 7e62tq9m in osFoundry?
Paste your yunhuijang API key in the key dialog (or deploy the open weights for self-hostable models), assign 7e62tq9m 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 July 23, 2024. Source: https://huggingface.co/yunhuijang/7e62tq9m