The fastest way to get this model running locally is via Optional Features.
Follow the step-by-step instructions below.
1-click setup: the app automatically fetches the large weight files.
The engine benchmarks your hardware to apply the most effective operational mode.
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) |
- Setup utility for integrating Llama-3.3-70B-Instruct GGUF shards into LM Studio
- Run gpt-oss-120b FREE
- Installer configuring automated VRAM garbage collection loops for WebUIs
- gpt-oss-120b Zero Config FREE
- Downloader pulling high-fidelity text-to-speech model voices locally
- Full Deployment gpt-oss-120b Using Pinokio No Python Required FREE

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