llama2.c-stories110M
Xenova's llama2.c-stories110M is a chat model. llama2.c-stories110M is an open-weights chat model.
by Xenova
Best for
Ways to use llama2.c-stories110M in osFoundry
Connect with your own key (BYOK)
Open the key dialog and paste your Xenova API key. osFoundry discovers llama2.c-stories110M 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
llama2.c-stories110M 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.
llama2.c-stories110M vs similar models
Licence
Unspecified — Licence terms not specified — verify the upstream model card before commercial use.
Check upstream documentation.
Frequently asked about llama2.c-stories110M
Is llama2.c-stories110M free to use?
llama2.c-stories110M 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 llama2.c-stories110M 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 llama2.c-stories110M locally?
Yes. llama2.c-stories110M is open-weights and runs locally on a workstation GPU. osFoundry's local runtime handles model loading, quantisation, and routing.
What is llama2.c-stories110M best at?
llama2.c-stories110M is well-suited to text generation.
How do I use llama2.c-stories110M in osFoundry?
Paste your Xenova API key in the key dialog (or deploy the open weights for self-hostable models), assign llama2.c-stories110M to a Maestro role in the Pipeline tab, then use it in chat, Room Apps via invokeAI, or your own apps.
Published by Xenova on August 3, 2023. Source: https://huggingface.co/Xenova/llama2.c-stories110M