The fastest method for installing this model locally is by using Docker.
Refer to the instructions below to proceed.
The setup file includes an intelligent feature that instantly optimizes all configurations for your hardware profile.
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) |
- Crash log parser and automated memory dump troubleshooting tool
- Run gpt-oss-120b Full Method
- Studio telemetry blocker disabling forced tracking in game executables
- gpt-oss-120b Local Guide
- Low-end PC optimization script removing heavy volumetric fog and shadows
- How to Setup gpt-oss-120b Offline on PC Dummy Proof Guide