Qwopus-GLM-18B-Merged-GGUF-KyleHessling1
Released by botp in 2026, Qwopus-GLM-18B-Merged-GGUF-KyleHessling1 is a 18 billion parameter chat model. Qwopus-GLM-18B-Merged-GGUF-KyleHessling1 is an open-weights chat model with roughly 18 billion parameters.
by botp · 18B parameters
Best for
Ways to use Qwopus-GLM-18B-Merged-GGUF-KyleHessling1 in osFoundry
Connect with your own key (BYOK)
Open the key dialog and paste your botp API key. osFoundry discovers Qwopus-GLM-18B-Merged-GGUF-KyleHessling1 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
Qwopus-GLM-18B-Merged-GGUF-KyleHessling1 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 Qwopus-GLM-18B-Merged-GGUF-KyleHessling1
Qwopus-GLM-18B-Merged-GGUF-KyleHessling1 runs on a single 16GB consumer GPU (~11 GB VRAM with KV-cache headroom). Full-precision inference fits on a single H100 80GB at FP16 precision (~44 GB).
Qwopus-GLM-18B-Merged-GGUF-KyleHessling1 vs similar models
Licence
Unspecified — Licence terms not specified — verify the upstream model card before commercial use.
Check upstream documentation.
Frequently asked about Qwopus-GLM-18B-Merged-GGUF-KyleHessling1
Is Qwopus-GLM-18B-Merged-GGUF-KyleHessling1 free to use?
Qwopus-GLM-18B-Merged-GGUF-KyleHessling1 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 Qwopus-GLM-18B-Merged-GGUF-KyleHessling1 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 Qwopus-GLM-18B-Merged-GGUF-KyleHessling1 need?
Approximately 11 GB at Q4 quantisation, or 44 GB at full FP16 precision. Fits on a single 24GB consumer GPU.
Can I run Qwopus-GLM-18B-Merged-GGUF-KyleHessling1 locally?
Yes. Qwopus-GLM-18B-Merged-GGUF-KyleHessling1 is open-weights and runs locally on a workstation GPU. osFoundry's local runtime handles model loading, quantisation, and routing.
What is Qwopus-GLM-18B-Merged-GGUF-KyleHessling1 best at?
Qwopus-GLM-18B-Merged-GGUF-KyleHessling1 is well-suited to text generation.
How do I use Qwopus-GLM-18B-Merged-GGUF-KyleHessling1 in osFoundry?
Paste your botp API key in the key dialog (or deploy the open weights for self-hostable models), assign Qwopus-GLM-18B-Merged-GGUF-KyleHessling1 to a Maestro role in the Pipeline tab, then use it in chat, Room Apps via invokeAI, or your own apps.
Published by botp on April 19, 2026. Source: https://huggingface.co/botp/Qwopus-GLM-18B-Merged-GGUF-KyleHessling1