gpt-oss-120b Windows 10 with 1M Context Step-by-Step Windows

Using the Windows Package Manager is the quickest way to trigger the setup.

Carefully read and apply the steps described below.

The script takes care of fetching the multi-gigabyte model weights.

The smart installation system will instantly find the perfect configuration.

🔐 Hash sum: 7d46a7dc3a6356a44f9ef8040ede85ca | 📅 Last update: 2026-07-02 Verify Processor: high single-core performance needed for token latency RAM: 64 GB to avoid OOM crashes on large contexts Disk Space: free: 80 GB on system drive for scratch space GPU: modern architecture (Ada Lovelace / Ampere minimum)

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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