How to Run gpt-oss-120b Windows 11

If you want the fastest local installation for this model, use Docker.

Review and follow the instructions below.

After that, launch the environment using docker-compose.

🔧 Digest: 0fc06aaced33b5b3ff1a2a64983cc9dd ‱ 🕒 Updated: 2026-06-21



  • Processor: high single-core performance needed for token latency
  • RAM: high-speed DDR5 memory preferred for CPU offloading
  • Disk Space:70 GB free space for full FP16 weights storage
  • Graphic Processor: hardware Tensor Cores support needed for FP16 acceleration

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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  • gpt-oss-120b Offline on PC 2026/2027 Tutorial
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  • How to Launch gpt-oss-120b For Low VRAM (6GB/8GB) Local Guide FREE
  • Mod packer utility for automated generation of custom game distribution assets
  • gpt-oss-120b Locally via LM Studio Offline Setup
  • DLSS 4.0 Ray Reconstruction enabler tool for non-RTX graphics cards
  • How to Setup gpt-oss-120b Windows 11 One-Click Setup
  • Encrypted script package loader for secure automated mod directory setups
  • How to Deploy gpt-oss-120b with 1M Context Full Method FREE

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