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gpt-oss-120b Locally (No Cloud)

gpt-oss-120b Locally (No Cloud)

To install this model locally in the shortest time, opt for a direct curl execution.

Refer to the instructions below to proceed.

The setup auto-downloads all needed files (several GBs).

The program scans your VRAM and RAM to seamlessly apply optimal configurations.

🗂 Hash: f76a380ae0af8d195fc6469b3d16026cLast Updated: 2026-06-30



  • Processor: Intel i5 or AMD Ryzen 5 for basic 7B models
  • RAM: 48 GB needed to prevent memory swapping to disk
  • Disk Space:70 GB free space for full FP16 weights storage
  • GPU: RTX 4080 / RTX 4090 recommended for 26B-A4B fast inference

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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