TinyLlama_v1.1
TinyLlama's TinyLlama_v1.1 is a chat model. TinyLlama_v1.1 is an open-weights chat model.
by TinyLlama
Best for
Ways to use TinyLlama_v1.1 in osFoundry
Connect with your own key (BYOK)
Open the key dialog and paste your TinyLlama API key. osFoundry discovers TinyLlama_v1.1 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
TinyLlama_v1.1 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.
TinyLlama_v1.1 vs similar models
Licence
Unspecified — Licence terms not specified — verify the upstream model card before commercial use.
Check upstream documentation.
Frequently asked about TinyLlama_v1.1
Is TinyLlama_v1.1 free to use?
TinyLlama_v1.1 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 TinyLlama_v1.1 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 TinyLlama_v1.1 locally?
Yes. TinyLlama_v1.1 is open-weights and runs locally on a workstation GPU. osFoundry's local runtime handles model loading, quantisation, and routing.
What is TinyLlama_v1.1 best at?
TinyLlama_v1.1 is well-suited to text generation.
How do I use TinyLlama_v1.1 in osFoundry?
Paste your TinyLlama API key in the key dialog (or deploy the open weights for self-hostable models), assign TinyLlama_v1.1 to a Maestro role in the Pipeline tab, then use it in chat, Room Apps via invokeAI, or your own apps.
Published by TinyLlama on March 9, 2024. Source: https://huggingface.co/TinyLlama/TinyLlama_v1.1