How to Launch gpt-oss-120b Locally via Ollama 2

Using a native PowerShell script is the absolute quickest way to install this model.

Simply follow the directions outlined below.

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

The script runs a quick hardware check to dynamically adjust parameters for elite speed.

🗂 Hash: 983427b9094f1a6929bc47bdbde8b093 • Last Updated: 2026-07-03 Verify Processor: high single-core performance needed for token latency RAM: 64 GB to avoid OOM crashes on large contexts Storage:100 GB free space for HuggingFace cache folder Graphics: TensorRT-LLM / vLLM inference engine compatible chip

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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