llama_finetune_16bit
llama_finetune_16bit (Josephus67, 2026) is an chat model. llama_finetune_16bit is an open-weights chat model.
by Josephus67
Best for
Ways to use llama_finetune_16bit in osFoundry
Connect with your own key (BYOK)
Open the key dialog and paste your Josephus67 API key. osFoundry discovers llama_finetune_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
llama_finetune_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.
llama_finetune_16bit vs similar models
Licence
Unspecified — Licence terms not specified — verify the upstream model card before commercial use.
Check upstream documentation.
Frequently asked about llama_finetune_16bit
Is llama_finetune_16bit free to use?
llama_finetune_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 llama_finetune_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 llama_finetune_16bit locally?
Yes. llama_finetune_16bit is open-weights and runs locally on a workstation GPU. osFoundry's local runtime handles model loading, quantisation, and routing.
What is llama_finetune_16bit best at?
llama_finetune_16bit is well-suited to text generation.
How do I use llama_finetune_16bit in osFoundry?
Paste your Josephus67 API key in the key dialog (or deploy the open weights for self-hostable models), assign llama_finetune_16bit to a Maestro role in the Pipeline tab, then use it in chat, Room Apps via invokeAI, or your own apps.
Published by Josephus67 on April 24, 2026. Source: https://huggingface.co/Josephus67/llama_finetune_16bit