How to Install gpt-oss-120b on AMD/Nvidia GPU Windows

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

Refer to the instructions below to proceed.

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

There is no manual tuning required; the builder will automatically deploy the best matching configuration.

📊 File Hash: ae104605ab8791aedc8f03bc3fe4d428 — Last update: 2026-06-24 Verify CPU: AVX2/AVX-512 instruction set required for llama.cpp RAM: required: 16 GB absolute minimum for small models Disk Space: free: 80 GB on system drive for scratch space Graphics: CUDA Compute Capability 8.0+ required for flash-attention

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.

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