tiny-aya-fire
Built by CohereLabs, tiny-aya-fire is an chat model. tiny-aya-fire is an open-weights chat model.
by CohereLabs
Best for
Ways to use tiny-aya-fire in osFoundry
Connect with your own key (BYOK)
Open the key dialog and paste your CohereLabs API key. osFoundry discovers tiny-aya-fire 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
tiny-aya-fire 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.
tiny-aya-fire vs similar models
Licence
Unspecified — Licence terms not specified — verify the upstream model card before commercial use.
Check upstream documentation.
Frequently asked about tiny-aya-fire
Is tiny-aya-fire free to use?
tiny-aya-fire 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 tiny-aya-fire 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 tiny-aya-fire locally?
Yes. tiny-aya-fire is open-weights and runs locally on a workstation GPU. osFoundry's local runtime handles model loading, quantisation, and routing.
What is tiny-aya-fire best at?
tiny-aya-fire is well-suited to text generation.
How do I use tiny-aya-fire in osFoundry?
Paste your CohereLabs API key in the key dialog (or deploy the open weights for self-hostable models), assign tiny-aya-fire to a Maestro role in the Pipeline tab, then use it in chat, Room Apps via invokeAI, or your own apps.
Published by CohereLabs on February 13, 2026. Source: https://huggingface.co/CohereLabs/tiny-aya-fire