tiny-random-DebertaV2Model
Released by peft-internal-testing in 2025, tiny-random-DebertaV2Model is an embedding model. tiny-random-DebertaV2Model is an open-weights embed model.
by peft-internal-testing
Best for
Ways to use tiny-random-DebertaV2Model in osFoundry
Connect with your own key (BYOK)
Open the key dialog and paste your peft-internal-testing API key. osFoundry discovers tiny-random-DebertaV2Model 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
tiny-random-DebertaV2Model 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.
tiny-random-DebertaV2Model vs similar models
| Model | Org | Params | Context | Input price | Self-host |
|---|
| tiny-random-DebertaV2Model | peft-internal-testing | — | — | Free (local) | Yes |
| all-mpnet-base-v2 | Xenova | — | — | Free (local) | Yes |
| cde-small-v2 | jxm | — | — | Free (local) | Yes |
| 8 | unslothai | — | — | Free (local) | Yes |
Licence
Unspecified — Licence terms not specified — verify the upstream model card before commercial use.
Check upstream documentation.
Frequently asked about tiny-random-DebertaV2Model
Is tiny-random-DebertaV2Model free to use?
tiny-random-DebertaV2Model 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 tiny-random-DebertaV2Model 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 tiny-random-DebertaV2Model locally?
Yes. tiny-random-DebertaV2Model is open-weights and runs locally on a workstation GPU. osFoundry's local runtime handles model loading, quantisation, and routing.
What is tiny-random-DebertaV2Model best at?
tiny-random-DebertaV2Model is well-suited to feature extraction.
How do I use tiny-random-DebertaV2Model in osFoundry?
Paste your peft-internal-testing API key in the key dialog (or deploy the open weights for self-hostable models), assign tiny-random-DebertaV2Model to a Maestro role in the Pipeline tab, then use it in chat, Room Apps via invokeAI, or your own apps.
Published by peft-internal-testing on November 17, 2025. Source: https://huggingface.co/peft-internal-testing/tiny-random-DebertaV2Model