undermaintenance__118b-gpt-faulty
Released by ZERO-POINT-AI in 2026, undermaintenance__118b-gpt-faulty is a 118 billion parameter chat model. undermaintenance__118b-gpt-faulty is an open-weights chat model with roughly 118 billion parameters.
by ZERO-POINT-AI · 118B parameters
Best for
Ways to use undermaintenance__118b-gpt-faulty in osFoundry
Connect with your own key (BYOK)
Open the key dialog and paste your ZERO-POINT-AI API key. osFoundry discovers undermaintenance__118b-gpt-faulty 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
undermaintenance__118b-gpt-faulty 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.
What hardware can run undermaintenance__118b-gpt-faulty
undermaintenance__118b-gpt-faulty runs on a single A100 80GB or H100 80GB at Q4 quantisation (~71 GB VRAM with KV-cache headroom). Full-precision inference requires multiple H100/H200 GPUs at FP16 (~284 GB).
undermaintenance__118b-gpt-faulty vs similar models
Licence
Unspecified — Licence terms not specified — verify the upstream model card before commercial use.
Check upstream documentation.
Frequently asked about undermaintenance__118b-gpt-faulty
Is undermaintenance__118b-gpt-faulty free to use?
undermaintenance__118b-gpt-faulty 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 undermaintenance__118b-gpt-faulty commercially?
Commercial use is allowed with conditions. Licence terms not specified — verify the upstream model card before commercial use. Check upstream documentation.
How much VRAM does undermaintenance__118b-gpt-faulty need?
Approximately 71 GB at Q4 quantisation, or 284 GB at full FP16 precision. Fits on a single A100/H100 80GB.
Can I run undermaintenance__118b-gpt-faulty locally?
Yes. undermaintenance__118b-gpt-faulty is open-weights and runs locally on a workstation GPU. osFoundry's local runtime handles model loading, quantisation, and routing.
What is undermaintenance__118b-gpt-faulty best at?
undermaintenance__118b-gpt-faulty is well-suited to text generation.
How do I use undermaintenance__118b-gpt-faulty in osFoundry?
Paste your ZERO-POINT-AI API key in the key dialog (or deploy the open weights for self-hostable models), assign undermaintenance__118b-gpt-faulty to a Maestro role in the Pipeline tab, then use it in chat, Room Apps via invokeAI, or your own apps.
Published by ZERO-POINT-AI on March 21, 2026. Source: https://huggingface.co/ZERO-POINT-AI/undermaintenance__118b-gpt-faulty