Apalah
Released by R136a1 in 2024, Apalah is an chat model. Apalah is an open-weights chat model.
by R136a1
Best for
- low-latency chat and routing
- request routing and triage
- text classification
Ways to use Apalah in osFoundry
Connect with your own key (BYOK)
Open the key dialog and paste your R136a1 API key. osFoundry discovers Apalah 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
Apalah 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.
Apalah vs similar models
Licence
Unspecified — Licence terms not specified — verify the upstream model card before commercial use.
Check upstream documentation.
Frequently asked about Apalah
Is Apalah free to use?
Apalah 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 Apalah 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 Apalah locally?
Yes. Apalah is open-weights and runs locally on a workstation GPU. osFoundry's local runtime handles model loading, quantisation, and routing.
What is Apalah best at?
Apalah is well-suited to low-latency chat and routing, request routing and triage, text classification.
How do I use Apalah in osFoundry?
Paste your R136a1 API key in the key dialog (or deploy the open weights for self-hostable models), assign Apalah to a Maestro role in the Pipeline tab, then use it in chat, Room Apps via invokeAI, or your own apps.
Published by R136a1 on July 13, 2024. Source: https://huggingface.co/R136a1/Apalah