tinyllama-oneshot-w8-channel-a8-tensor
tinyllama-oneshot-w8-channel-a8-tensor is a chat model from nm-testing, released June 18, 2024. tinyllama-oneshot-w8-channel-a8-tensor is an open-weights chat model.
by nm-testing
Best for
Ways to use tinyllama-oneshot-w8-channel-a8-tensor in osFoundry
Connect with your own key (BYOK)
Open the key dialog and paste your nm-testing API key. osFoundry discovers tinyllama-oneshot-w8-channel-a8-tensor 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
tinyllama-oneshot-w8-channel-a8-tensor 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.
tinyllama-oneshot-w8-channel-a8-tensor vs similar models
Licence
Unspecified — Licence terms not specified — verify the upstream model card before commercial use.
Check upstream documentation.
Frequently asked about tinyllama-oneshot-w8-channel-a8-tensor
Is tinyllama-oneshot-w8-channel-a8-tensor free to use?
tinyllama-oneshot-w8-channel-a8-tensor 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 tinyllama-oneshot-w8-channel-a8-tensor 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 tinyllama-oneshot-w8-channel-a8-tensor locally?
Yes. tinyllama-oneshot-w8-channel-a8-tensor is open-weights and runs locally on a workstation GPU. osFoundry's local runtime handles model loading, quantisation, and routing.
What is tinyllama-oneshot-w8-channel-a8-tensor best at?
tinyllama-oneshot-w8-channel-a8-tensor is well-suited to text generation.
How do I use tinyllama-oneshot-w8-channel-a8-tensor in osFoundry?
Paste your nm-testing API key in the key dialog (or deploy the open weights for self-hostable models), assign tinyllama-oneshot-w8-channel-a8-tensor to a Maestro role in the Pipeline tab, then use it in chat, Room Apps via invokeAI, or your own apps.
Published by nm-testing on June 18, 2024. Source: https://huggingface.co/nm-testing/tinyllama-oneshot-w8-channel-a8-tensor