How to Install gpt-oss-120b Full Speed NPU Mode Local Guide

The fastest tactical way to launch this model locally is via a Docker image.

Check out the detailed setup guide below to begin.

Everything happens automatically, including the heavy cloud asset download.

The automated script takes care of everything, tailoring the setup to your specs.

🔍 Hash-sum: 0934bd0d100639f052963f95a5b01b65 | 🕓 Last update: 2026-06-26

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CPU: modern architecture (Zen 3 / Alder Lake minimum)
RAM: 32 GB or higher for smooth 32k context lengths
Disk Space: 80 GB NVMe SSD required for fast model weights loading
Graphics: CUDA Compute Capability 8.0+ required for flash-attention

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)

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