nebius-SWE-rebench-openhands-Qwen3-30B-A3B-GGUF
nebius-SWE-rebench-openhands-Qwen3-30B-A3B-GGUF is a 30 billion parameter chat model from VolkerMauel, released December 27, 2025. nebius-SWE-rebench-openhands-Qwen3-30B-A3B-GGUF is an open-weights chat model with roughly 30 billion parameters.
by VolkerMauel · 30B parameters
Best for
Ways to use nebius-SWE-rebench-openhands-Qwen3-30B-A3B-GGUF in osFoundry
Connect with your own key (BYOK)
Open the key dialog and paste your VolkerMauel API key. osFoundry discovers nebius-SWE-rebench-openhands-Qwen3-30B-A3B-GGUF 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
nebius-SWE-rebench-openhands-Qwen3-30B-A3B-GGUF 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 nebius-SWE-rebench-openhands-Qwen3-30B-A3B-GGUF
nebius-SWE-rebench-openhands-Qwen3-30B-A3B-GGUF runs on a 24GB consumer or workstation GPU (~18 GB VRAM with KV-cache headroom). Full-precision inference fits on a single H100 80GB at FP16 precision (~72 GB).
nebius-SWE-rebench-openhands-Qwen3-30B-A3B-GGUF vs similar models
Licence
Unspecified — Licence terms not specified — verify the upstream model card before commercial use.
Check upstream documentation.
Frequently asked about nebius-SWE-rebench-openhands-Qwen3-30B-A3B-GGUF
Is nebius-SWE-rebench-openhands-Qwen3-30B-A3B-GGUF free to use?
nebius-SWE-rebench-openhands-Qwen3-30B-A3B-GGUF 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 nebius-SWE-rebench-openhands-Qwen3-30B-A3B-GGUF 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 nebius-SWE-rebench-openhands-Qwen3-30B-A3B-GGUF need?
Approximately 18 GB at Q4 quantisation, or 72 GB at full FP16 precision. Fits on a single 24GB consumer GPU.
Can I run nebius-SWE-rebench-openhands-Qwen3-30B-A3B-GGUF locally?
Yes. nebius-SWE-rebench-openhands-Qwen3-30B-A3B-GGUF is open-weights and runs locally on a workstation GPU. osFoundry's local runtime handles model loading, quantisation, and routing.
What is nebius-SWE-rebench-openhands-Qwen3-30B-A3B-GGUF best at?
nebius-SWE-rebench-openhands-Qwen3-30B-A3B-GGUF is well-suited to text generation.
How do I use nebius-SWE-rebench-openhands-Qwen3-30B-A3B-GGUF in osFoundry?
Paste your VolkerMauel API key in the key dialog (or deploy the open weights for self-hostable models), assign nebius-SWE-rebench-openhands-Qwen3-30B-A3B-GGUF to a Maestro role in the Pipeline tab, then use it in chat, Room Apps via invokeAI, or your own apps.
Published by VolkerMauel on December 27, 2025. Source: https://huggingface.co/VolkerMauel/nebius-SWE-rebench-openhands-Qwen3-30B-A3B-GGUF