timesfm-2.0-500m-pytorch
Built by google, timesfm-2.0-500m-pytorch is an chat model. timesfm-2.0-500m-pytorch is an open-weights chat model.
by google
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Ways to use timesfm-2.0-500m-pytorch in osFoundry
Connect with your own key (BYOK)
Open the key dialog and paste your google API key. osFoundry discovers timesfm-2.0-500m-pytorch 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
timesfm-2.0-500m-pytorch 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.
timesfm-2.0-500m-pytorch vs similar models
Licence
Unspecified — Licence terms not specified — verify the upstream model card before commercial use.
Check upstream documentation.
Frequently asked about timesfm-2.0-500m-pytorch
Is timesfm-2.0-500m-pytorch free to use?
timesfm-2.0-500m-pytorch 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 timesfm-2.0-500m-pytorch 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 timesfm-2.0-500m-pytorch locally?
Yes. timesfm-2.0-500m-pytorch is open-weights and runs locally on a workstation GPU. osFoundry's local runtime handles model loading, quantisation, and routing.
What is timesfm-2.0-500m-pytorch best at?
timesfm-2.0-500m-pytorch is well-suited to time series forecasting.
How do I use timesfm-2.0-500m-pytorch in osFoundry?
Paste your google API key in the key dialog (or deploy the open weights for self-hostable models), assign timesfm-2.0-500m-pytorch to a Maestro role in the Pipeline tab, then use it in chat, Room Apps via invokeAI, or your own apps.
Published by google on December 24, 2024. Source: https://huggingface.co/google/timesfm-2.0-500m-pytorch