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Full Deployment gpt-oss-120b PC with NPU One-Click Setup Direct EXE Setup

Full Deployment gpt-oss-120b PC with NPU One-Click Setup Direct EXE Setup

Running this model locally is fastest when deployed through Docker.

Please follow the instructions listed below to get started.

The setup auto-downloads all needed files (several GBs).

The smart installation system will instantly find the perfect configuration for your specific hardware.

🛠 Hash code: 492a942139930aaf7ae1fea45ad2039a — Last modification: 2026-06-28



  • CPU: modern architecture (Zen 3 / Alder Lake minimum)
  • RAM: at least 32 GB in dual-channel mode for bandwidth
  • Disk: 150+ GB for high-context vector database storage
  • 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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