How to Launch gpt-oss-120b Full Speed NPU Mode

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

Simply follow the directions outlined below.

The loader auto-caches the model archive (several GBs included).

Your resources are automatically evaluated to lock in the premium configuration.

🔐 Hash sum: 8c1fe372b101c151fcb16201a5ae24b0 | 📅 Last update: 2026-06-26



  • CPU: multi-threading optimized for fast prompt processing
  • RAM: 32 GB or higher for smooth 32k context lengths
  • Disk: 150+ GB for high-context vector database storage
  • 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)

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