The shortest path to running this model is by activating Hyper-V features.
Make sure to follow the instructions below.
The installer auto-downloads and deploys the entire model pack.
You don’t need to tweak anything; the installer picks the highest performing setup.
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) |
- Downloader pulling optimized model shards for limited bandwith setups
- Launch gpt-oss-120b on Copilot+ PC Direct EXE Setup
- Setup utility adjusting flash-decoding memory buffers within local runtime system spaces
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- Setup utility adjusting flash-decoding memory buffers within local runtime space architecture configurations
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- Setup utility resolving cyclical python package dependencies across AI interfaces
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- Installer pre-configuring modern machine learning dependency matrices on local runtime environments
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