opensecops-qwen2.5-7b-grpo
SapphireGaze429's opensecops-qwen2.5-7b-grpo packs 7 billion parameters into a chat model. opensecops-qwen2.5-7b-grpo is an open-weights chat model with roughly 7 billion parameters.
by SapphireGaze429 · 7B parameters
Best for
Ways to use opensecops-qwen2.5-7b-grpo in osFoundry
Connect with your own key (BYOK)
Open the key dialog and paste your SapphireGaze429 API key. osFoundry discovers opensecops-qwen2.5-7b-grpo 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
opensecops-qwen2.5-7b-grpo 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 opensecops-qwen2.5-7b-grpo
opensecops-qwen2.5-7b-grpo runs on a single 16GB consumer GPU (~5 GB VRAM with KV-cache headroom). Full-precision inference fits on a single H100 80GB at FP16 precision (~17 GB).
opensecops-qwen2.5-7b-grpo vs similar models
Licence
Unspecified — Licence terms not specified — verify the upstream model card before commercial use.
Check upstream documentation.
Frequently asked about opensecops-qwen2.5-7b-grpo
Is opensecops-qwen2.5-7b-grpo free to use?
opensecops-qwen2.5-7b-grpo 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 opensecops-qwen2.5-7b-grpo 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 opensecops-qwen2.5-7b-grpo need?
Approximately 5 GB at Q4 quantisation, or 17 GB at full FP16 precision. Fits on a single 24GB consumer GPU.
Can I run opensecops-qwen2.5-7b-grpo locally?
Yes. opensecops-qwen2.5-7b-grpo is open-weights and runs locally on a workstation GPU. osFoundry's local runtime handles model loading, quantisation, and routing.
What is opensecops-qwen2.5-7b-grpo best at?
opensecops-qwen2.5-7b-grpo is well-suited to text generation.
How do I use opensecops-qwen2.5-7b-grpo in osFoundry?
Paste your SapphireGaze429 API key in the key dialog (or deploy the open weights for self-hostable models), assign opensecops-qwen2.5-7b-grpo to a Maestro role in the Pipeline tab, then use it in chat, Room Apps via invokeAI, or your own apps.
Published by SapphireGaze429 on April 25, 2026. Source: https://huggingface.co/SapphireGaze429/opensecops-qwen2.5-7b-grpo