stories15M_MOE
Built by ggml-org, stories15M_MOE is an chat model. stories15M_MOE is an open-weights chat model.
by ggml-org
Best for
Ways to use stories15M_MOE in osFoundry
Connect with your own key (BYOK)
Open the key dialog and paste your ggml-org API key. osFoundry discovers stories15M_MOE 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
stories15M_MOE 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.
stories15M_MOE vs similar models
Licence
Unspecified — Licence terms not specified — verify the upstream model card before commercial use.
Check upstream documentation.
Frequently asked about stories15M_MOE
Is stories15M_MOE free to use?
stories15M_MOE 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 stories15M_MOE 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 stories15M_MOE locally?
Yes. stories15M_MOE is open-weights and runs locally on a workstation GPU. osFoundry's local runtime handles model loading, quantisation, and routing.
What is stories15M_MOE best at?
stories15M_MOE is well-suited to text generation.
How do I use stories15M_MOE in osFoundry?
Paste your ggml-org API key in the key dialog (or deploy the open weights for self-hostable models), assign stories15M_MOE to a Maestro role in the Pipeline tab, then use it in chat, Room Apps via invokeAI, or your own apps.
Published by ggml-org on July 11, 2024. Source: https://huggingface.co/ggml-org/stories15M_MOE