llama_8b_merged
llama_8b_merged is a chat model from HuggingfaceSharanya, released April 23, 2026. llama_8b_merged is an open-weights chat model.
by HuggingfaceSharanya
Best for
Ways to use llama_8b_merged in osFoundry
Connect with your own key (BYOK)
Open the key dialog and paste your HuggingfaceSharanya API key. osFoundry discovers llama_8b_merged 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_8b_merged 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_8b_merged vs similar models
Licence
Unspecified — Licence terms not specified — verify the upstream model card before commercial use.
Check upstream documentation.
Frequently asked about llama_8b_merged
Is llama_8b_merged free to use?
llama_8b_merged 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_8b_merged 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_8b_merged locally?
Yes. llama_8b_merged is open-weights and runs locally on a workstation GPU. osFoundry's local runtime handles model loading, quantisation, and routing.
What is llama_8b_merged best at?
llama_8b_merged is well-suited to text generation.
How do I use llama_8b_merged in osFoundry?
Paste your HuggingfaceSharanya API key in the key dialog (or deploy the open weights for self-hostable models), assign llama_8b_merged to a Maestro role in the Pipeline tab, then use it in chat, Room Apps via invokeAI, or your own apps.
Published by HuggingfaceSharanya on April 23, 2026. Source: https://huggingface.co/HuggingfaceSharanya/llama_8b_merged