Full Deployment gpt-oss-120b Locally via Ollama 2 Zero Config

Full Deployment gpt-oss-120b Locally via Ollama 2 Zero Config

Using Docker is the absolute quickest way to install this model on your local machine.

Follow the step-by-step instructions below.

The system automatically triggers a cloud download for all heavy weights.

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

🔍 Hash-sum: 3d8ab16c7209f58adb6bc87030b3950f | 🕓 Last update: 2026-06-24



  • Processor: high single-core performance needed for token latency
  • RAM: required: 16 GB absolute minimum for small models
  • Disk Space:70 GB free space for full FP16 weights 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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  • Alternative multiplayer network patcher for playing cracked LAN setups
  • gpt-oss-120b Zero Config Complete Walkthrough FREE
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https://pimputo.net/category/patches/

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