FireRedASR2-LLM
FireRedASR2-LLM (FireRedTeam, 2026) is an speech-and-audio model. FireRedASR2-LLM is an open-weights audio model.
by FireRedTeam
Best for
- automatic speech recognition
Ways to use FireRedASR2-LLM in osFoundry
Connect with your own key (BYOK)
Open the key dialog and paste your FireRedTeam API key. osFoundry discovers FireRedASR2-LLM 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
FireRedASR2-LLM 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.
FireRedASR2-LLM vs similar models
Licence
Unspecified — Licence terms not specified — verify the upstream model card before commercial use.
Check upstream documentation.
Frequently asked about FireRedASR2-LLM
Is FireRedASR2-LLM free to use?
FireRedASR2-LLM 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 FireRedASR2-LLM 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 FireRedASR2-LLM locally?
Yes. FireRedASR2-LLM is open-weights and runs locally on a workstation GPU. osFoundry's local runtime handles model loading, quantisation, and routing.
What is FireRedASR2-LLM best at?
FireRedASR2-LLM is well-suited to automatic speech recognition.
How do I use FireRedASR2-LLM in osFoundry?
Paste your FireRedTeam API key in the key dialog (or deploy the open weights for self-hostable models), assign FireRedASR2-LLM to a Maestro role in the Pipeline tab, then use it in chat, Room Apps via invokeAI, or your own apps.
Published by FireRedTeam on February 24, 2026. Source: https://huggingface.co/FireRedTeam/FireRedASR2-LLM