Run gpt-oss-20b

Docker offers the quickest path to setting up this model locally.

Review and follow the instructions below.

After that, launch the environment using docker-compose.

🔐 Hash sum: 2063987694b0158e5898b61937f6e941 | 📅 Last update: 2026-06-24 Verify CPU: 8-core / 16-thread recommended for orchestration RAM: 32 GB or higher for smooth 32k context lengths Storage: extra room for future model updates and datasets Graphic Processor: hardware Tensor Cores support needed for FP16 acceleration

The gpt-oss-20b model represents a significant step forward in open‑source large language models, offering a balanced blend of capability and accessibility for developers and researchers. Built with 20 billion parameters, it delivers strong performance on a wide range of NLP tasks while remaining lightweight enough for deployment on standard hardware. Its state‑of‑the‑art architecture incorporates advanced attention mechanisms and efficient memory usage, enabling context lengths up to 8K tokens without significant latency. The model has been trained on a diverse corpus of publicly available web data and scholarly sources, ensuring broad factual knowledge and multilingual support. Below is a quick overview of its key technical specifications, presented in a concise table for easy reference.

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