lm_weights_small_tts_prepared
Built by zuhri025, lm_weights_small_tts_prepared is an chat model. lm_weights_small_tts_prepared is an open-weights chat model.
by zuhri025
Best for
- low-latency chat and routing
- request routing and triage
- text classification
Ways to use lm_weights_small_tts_prepared in osFoundry
Connect with your own key (BYOK)
Open the key dialog and paste your zuhri025 API key. osFoundry discovers lm_weights_small_tts_prepared 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
lm_weights_small_tts_prepared 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.
lm_weights_small_tts_prepared vs similar models
Licence
Unspecified — Licence terms not specified — verify the upstream model card before commercial use.
Check upstream documentation.
Frequently asked about lm_weights_small_tts_prepared
Is lm_weights_small_tts_prepared free to use?
lm_weights_small_tts_prepared 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 lm_weights_small_tts_prepared 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 lm_weights_small_tts_prepared locally?
Yes. lm_weights_small_tts_prepared is open-weights and runs locally on a workstation GPU. osFoundry's local runtime handles model loading, quantisation, and routing.
What is lm_weights_small_tts_prepared best at?
lm_weights_small_tts_prepared is well-suited to low-latency chat and routing, request routing and triage, text classification.
How do I use lm_weights_small_tts_prepared in osFoundry?
Paste your zuhri025 API key in the key dialog (or deploy the open weights for self-hostable models), assign lm_weights_small_tts_prepared to a Maestro role in the Pipeline tab, then use it in chat, Room Apps via invokeAI, or your own apps.
Published by zuhri025 on May 5, 2026. Source: https://huggingface.co/zuhri025/lm_weights_small_tts_prepared