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gpt-oss-120b on Copilot+ PC

gpt-oss-120b on Copilot+ PC

If you need a near-instant local setup, just fetch files via a basic curl request.

Please adhere to the deployment steps listed below.

Everything happens automatically, including the heavy cloud asset download.

The setup file includes a feature that instantly optimizes all configurations.

🔐 Hash sum: 7e7491af56cd0a2bb3ef8fea9892c7d9 | 📅 Last update: 2026-06-30



  • CPU: modern architecture (Zen 3 / Alder Lake minimum)
  • RAM: enough space for background apps and OS overhead
  • Disk Space: free: 80 GB on system drive for scratch space
  • GPU: RTX 4080 / RTX 4090 recommended for 26B-A4B fast inference

The gpt-oss-120b is an open‑source large language model featuring 120 billion parameters, built to enable transparent research and commercial deployment. It employs a mixture‑of‑experts architecture that balances inference efficiency with high contextual coherence across diverse tasks. The model supports multiple languages and incorporates built‑in safety alignments to reduce hallucinations and improve reliability. Benchmarks show it outperforms many 70‑billion‑parameter systems on reasoning tasks while consuming less computational power than comparable 175‑billion‑parameter models. A dedicated community hub provides pre‑trained checkpoints, fine‑tuning scripts, and comprehensive documentation for developers and researchers.

Parameters 120 billion
Training Data Web‑scale corpora in multiple languages
Inference Latency ≈120 ms per 512‑token sequence on GPU
Model Size ≈180 GB (float16)
  • Downloader pulling ultra-dense EXL2 quantizations of complex visual-language structural architectures
  • gpt-oss-120b Locally via Ollama 2 Uncensored Edition Direct EXE Setup FREE
  • Script fetching deepseek-math-7b models for local offline research sandboxes
  • How to Setup gpt-oss-120b No Admin Rights FREE
  • Installer deploying complex ComfyUI workflows for Flux-ControlNet-Inpainting isolated hardware nodes
  • gpt-oss-120b Windows 10 Fully Jailbroken Complete Walkthrough

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