mm_en_wavlm_48kh
mm_en_wavlm_48kh (lainlives, 2026) is an chat model. mm_en_wavlm_48kh is an open-weights chat model.
by lainlives
Best for
- low-latency chat and routing
- request routing and triage
- text classification
Ways to use mm_en_wavlm_48kh in osFoundry
Connect with your own key (BYOK)
Open the key dialog and paste your lainlives API key. osFoundry discovers mm_en_wavlm_48kh 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
mm_en_wavlm_48kh 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.
mm_en_wavlm_48kh vs similar models
Licence
Unspecified — Licence terms not specified — verify the upstream model card before commercial use.
Check upstream documentation.
Frequently asked about mm_en_wavlm_48kh
Is mm_en_wavlm_48kh free to use?
mm_en_wavlm_48kh 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 mm_en_wavlm_48kh 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 mm_en_wavlm_48kh locally?
Yes. mm_en_wavlm_48kh is open-weights and runs locally on a workstation GPU. osFoundry's local runtime handles model loading, quantisation, and routing.
What is mm_en_wavlm_48kh best at?
mm_en_wavlm_48kh is well-suited to low-latency chat and routing, request routing and triage, text classification.
How do I use mm_en_wavlm_48kh in osFoundry?
Paste your lainlives API key in the key dialog (or deploy the open weights for self-hostable models), assign mm_en_wavlm_48kh to a Maestro role in the Pipeline tab, then use it in chat, Room Apps via invokeAI, or your own apps.
Published by lainlives on May 8, 2026. Source: https://huggingface.co/lainlives/mm_en_wavlm_48kh