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 openâsource large language model featuring 120âŻbillion parameters, built to enable transparent research and commercial deployment. It employs a mixtureâofâexperts architecture that balances inference efficiency with high contextual coherence across diverse tasks. The model supports multiple languages and incorporates builtâin safety alignments to reduce hallucinations and improve reliability. Benchmarks show it outperforms many 70âbillionâparameter systems on reasoning tasks while consuming less computational power than comparable 175âbillionâparameter models. A dedicated community hub provides preâtrained checkpoints, fineâtuning scripts, and comprehensive documentation for developers and researchers.
| Parameters | 120âŻbillion |
|---|---|
| Training Data | Webâscale corpora in multiple languages |
| Inference Latency | â120âŻms per 512âtoken sequence on GPU |
| Model Size | â180âŻGB (float16) |
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