Llama_UTK_Chatbot
Released by grohitraj in 2026, Llama_UTK_Chatbot is an chat model. Llama_UTK_Chatbot is an open-weights chat model.
by grohitraj
Best for
Ways to use Llama_UTK_Chatbot in osFoundry
Connect with your own key (BYOK)
Open the key dialog and paste your grohitraj API key. osFoundry discovers Llama_UTK_Chatbot 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
Llama_UTK_Chatbot 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.
Llama_UTK_Chatbot vs similar models
Licence
Unspecified — Licence terms not specified — verify the upstream model card before commercial use.
Check upstream documentation.
Frequently asked about Llama_UTK_Chatbot
Is Llama_UTK_Chatbot free to use?
Llama_UTK_Chatbot 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 Llama_UTK_Chatbot 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 Llama_UTK_Chatbot locally?
Yes. Llama_UTK_Chatbot is open-weights and runs locally on a workstation GPU. osFoundry's local runtime handles model loading, quantisation, and routing.
What is Llama_UTK_Chatbot best at?
Llama_UTK_Chatbot is well-suited to text generation.
How do I use Llama_UTK_Chatbot in osFoundry?
Paste your grohitraj API key in the key dialog (or deploy the open weights for self-hostable models), assign Llama_UTK_Chatbot to a Maestro role in the Pipeline tab, then use it in chat, Room Apps via invokeAI, or your own apps.
Published by grohitraj on April 26, 2026. Source: https://huggingface.co/grohitraj/Llama_UTK_Chatbot