Deploy gpt-oss-120b
Deploying this model locally is quickest when done via a simple curl command.
Check out the detailed setup guide below to begin.
The setup auto-downloads all needed files (several GBs).
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) |
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- Script automating multi-part model file chunking for external FAT32 formatting systems
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- Installer deploying local prompt template management engines with built-in variables
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- Installer deploying offline face recovery modules alongside pre-trained weight arrays
- Deploy gpt-oss-120b on Your PC Quantized GGUF Step-by-Step
- Script automating multi-part model file chunking for external FAT32 storage environments
- Install gpt-oss-120b on AMD/Nvidia GPU Full Speed NPU Mode