To get this model running locally in no time, utilize the built-in WSL tools.
Follow the sequence of steps detailed below.
The client handles the setup, pulling gigabytes of data automatically.
The smart installation system will instantly find the perfect configuration.
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) |
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