CyberSentinel-Qwen3.6-27B-GGUF-Q8_0
CyberSentinel-Qwen3.6-27B-GGUF-Q8_0 (lkjiop8, 2026) is a 27 billion parameter chat model. CyberSentinel-Qwen3.6-27B-GGUF-Q8_0 is an open-weights chat model with roughly 27 billion parameters.
by lkjiop8 · 27B parameters
Best for
- low-latency chat and routing
- request routing and triage
- text classification
Ways to use CyberSentinel-Qwen3.6-27B-GGUF-Q8_0 in osFoundry
Connect with your own key (BYOK)
Open the key dialog and paste your lkjiop8 API key. osFoundry discovers CyberSentinel-Qwen3.6-27B-GGUF-Q8_0 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
CyberSentinel-Qwen3.6-27B-GGUF-Q8_0 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 CyberSentinel-Qwen3.6-27B-GGUF-Q8_0
CyberSentinel-Qwen3.6-27B-GGUF-Q8_0 runs on a 24GB consumer or workstation GPU (~17 GB VRAM with KV-cache headroom). Full-precision inference fits on a single H100 80GB at FP16 precision (~65 GB).
CyberSentinel-Qwen3.6-27B-GGUF-Q8_0 vs similar models
Licence
Unspecified — Licence terms not specified — verify the upstream model card before commercial use.
Check upstream documentation.
Frequently asked about CyberSentinel-Qwen3.6-27B-GGUF-Q8_0
Is CyberSentinel-Qwen3.6-27B-GGUF-Q8_0 free to use?
CyberSentinel-Qwen3.6-27B-GGUF-Q8_0 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 CyberSentinel-Qwen3.6-27B-GGUF-Q8_0 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 CyberSentinel-Qwen3.6-27B-GGUF-Q8_0 need?
Approximately 17 GB at Q4 quantisation, or 65 GB at full FP16 precision. Fits on a single 24GB consumer GPU.
Can I run CyberSentinel-Qwen3.6-27B-GGUF-Q8_0 locally?
Yes. CyberSentinel-Qwen3.6-27B-GGUF-Q8_0 is open-weights and runs locally on a workstation GPU. osFoundry's local runtime handles model loading, quantisation, and routing.
What is CyberSentinel-Qwen3.6-27B-GGUF-Q8_0 best at?
CyberSentinel-Qwen3.6-27B-GGUF-Q8_0 is well-suited to low-latency chat and routing, request routing and triage, text classification.
How do I use CyberSentinel-Qwen3.6-27B-GGUF-Q8_0 in osFoundry?
Paste your lkjiop8 API key in the key dialog (or deploy the open weights for self-hostable models), assign CyberSentinel-Qwen3.6-27B-GGUF-Q8_0 to a Maestro role in the Pipeline tab, then use it in chat, Room Apps via invokeAI, or your own apps.
Published by lkjiop8 on April 25, 2026. Source: https://huggingface.co/lkjiop8/CyberSentinel-Qwen3.6-27B-GGUF-Q8_0