tiny-llama_Spanish_English_raspberry_pi5_16bit
Agnuxo's tiny-llama_Spanish_English_raspberry_pi5_16bit is a chat model. tiny-llama_Spanish_English_raspberry_pi5_16bit is an open-weights chat model.
by Agnuxo
Best for
Ways to use tiny-llama_Spanish_English_raspberry_pi5_16bit in osFoundry
Connect with your own key (BYOK)
Open the key dialog and paste your Agnuxo API key. osFoundry discovers tiny-llama_Spanish_English_raspberry_pi5_16bit 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-llama_Spanish_English_raspberry_pi5_16bit 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-llama_Spanish_English_raspberry_pi5_16bit vs similar models
Licence
Unspecified — Licence terms not specified — verify the upstream model card before commercial use.
Check upstream documentation.
Frequently asked about tiny-llama_Spanish_English_raspberry_pi5_16bit
Is tiny-llama_Spanish_English_raspberry_pi5_16bit free to use?
tiny-llama_Spanish_English_raspberry_pi5_16bit 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-llama_Spanish_English_raspberry_pi5_16bit 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-llama_Spanish_English_raspberry_pi5_16bit locally?
Yes. tiny-llama_Spanish_English_raspberry_pi5_16bit is open-weights and runs locally on a workstation GPU. osFoundry's local runtime handles model loading, quantisation, and routing.
What is tiny-llama_Spanish_English_raspberry_pi5_16bit best at?
tiny-llama_Spanish_English_raspberry_pi5_16bit is well-suited to text generation.
How do I use tiny-llama_Spanish_English_raspberry_pi5_16bit in osFoundry?
Paste your Agnuxo API key in the key dialog (or deploy the open weights for self-hostable models), assign tiny-llama_Spanish_English_raspberry_pi5_16bit to a Maestro role in the Pipeline tab, then use it in chat, Room Apps via invokeAI, or your own apps.
Published by Agnuxo on August 29, 2024. Source: https://huggingface.co/Agnuxo/tiny-llama_Spanish_English_raspberry_pi5_16bit