gpt-oss-120b on AMD/Nvidia GPU Zero Config

gpt-oss-120b on AMD/Nvidia GPU Zero Config

The fastest tactical way to launch this model locally is via a Docker image.

Follow the step-by-step instructions below.

The tool automatically synchronizes and downloads the model database.

The automated script takes care of everything, tailoring the setup to your specs.

🛠 Hash code: 36fe22c317fd97d3db9731e3df3fb16c — Last modification: 2026-07-04



  • Processor: Intel i5 or AMD Ryzen 5 for basic 7B models
  • RAM: enough space for background apps and OS overhead
  • Storage: extra room for future model updates and datasets
  • 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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