tiny-random-M2M100ForConditionalGeneration
tiny-random-M2M100ForConditionalGeneration is a chat model from Xenova, released October 8, 2024. tiny-random-M2M100ForConditionalGeneration is an open-weights chat model.
by Xenova
Best for
- low-latency chat and routing
- request routing and triage
- text classification
Ways to use tiny-random-M2M100ForConditionalGeneration in osFoundry
Connect with your own key (BYOK)
Open the key dialog and paste your Xenova API key. osFoundry discovers tiny-random-M2M100ForConditionalGeneration 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-M2M100ForConditionalGeneration 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-M2M100ForConditionalGeneration vs similar models
Licence
Unspecified — Licence terms not specified — verify the upstream model card before commercial use.
Check upstream documentation.
Frequently asked about tiny-random-M2M100ForConditionalGeneration
Is tiny-random-M2M100ForConditionalGeneration free to use?
tiny-random-M2M100ForConditionalGeneration 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-M2M100ForConditionalGeneration 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-M2M100ForConditionalGeneration locally?
Yes. tiny-random-M2M100ForConditionalGeneration is open-weights and runs locally on a workstation GPU. osFoundry's local runtime handles model loading, quantisation, and routing.
What is tiny-random-M2M100ForConditionalGeneration best at?
tiny-random-M2M100ForConditionalGeneration is well-suited to low-latency chat and routing, request routing and triage, text classification.
How do I use tiny-random-M2M100ForConditionalGeneration in osFoundry?
Paste your Xenova API key in the key dialog (or deploy the open weights for self-hostable models), assign tiny-random-M2M100ForConditionalGeneration to a Maestro role in the Pipeline tab, then use it in chat, Room Apps via invokeAI, or your own apps.
Published by Xenova on October 8, 2024. Source: https://huggingface.co/Xenova/tiny-random-M2M100ForConditionalGeneration