Homebrew offers the quickest path to setting up this model locally.
Please follow the instructions listed below to get started.
The loader auto-caches the model archive (several GBs included).
The deployment tool scans your environment and chooses the ideal parameters.
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) |
- Installer configuring secure sandboxed execution for code models
- Setup gpt-oss-120b No-Internet Version FREE
- Installer configuring localized autogen multi-agent spaces with internal model processing blocks
- gpt-oss-120b Offline on PC 5-Minute Setup FREE
- Script automating installation of Open-WebUI docker templates with data persistence
- gpt-oss-120b FREE