Running this model locally is fastest when deployed through Docker.
Follow the guidelines below to continue.
The installer automatically pulls the model (could be multiple GBs).
To guarantee smooth performance, the installation process auto-selects the best possible options for your PC.
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.
| Parameters | 20 billion |
| Context Length | 8K tokens |
| Training Data | Public web & scholarly sources |
| License | Open source |
- Cheat Engine automatic base address updater for fluctuating memory blocks
- gpt-oss-20b with 1M Context
- Standalone trainer executable generator utilizing compiled cheat sheets
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