WindFM-Tokenizer
WindFM-Tokenizer is a chat model from NeoQuasar, released September 5, 2025. WindFM-Tokenizer is an open-weights chat model.
by NeoQuasar
Best for
Ways to use WindFM-Tokenizer in osFoundry
Connect with your own key (BYOK)
Open the key dialog and paste your NeoQuasar API key. osFoundry discovers WindFM-Tokenizer 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
WindFM-Tokenizer 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.
WindFM-Tokenizer vs similar models
Licence
Unspecified — Licence terms not specified — verify the upstream model card before commercial use.
Check upstream documentation.
Frequently asked about WindFM-Tokenizer
Is WindFM-Tokenizer free to use?
WindFM-Tokenizer 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 WindFM-Tokenizer 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 WindFM-Tokenizer locally?
Yes. WindFM-Tokenizer is open-weights and runs locally on a workstation GPU. osFoundry's local runtime handles model loading, quantisation, and routing.
What is WindFM-Tokenizer best at?
WindFM-Tokenizer is well-suited to time series forecasting.
How do I use WindFM-Tokenizer in osFoundry?
Paste your NeoQuasar API key in the key dialog (or deploy the open weights for self-hostable models), assign WindFM-Tokenizer to a Maestro role in the Pipeline tab, then use it in chat, Room Apps via invokeAI, or your own apps.
Published by NeoQuasar on September 5, 2025. Source: https://huggingface.co/NeoQuasar/WindFM-Tokenizer