Run Llama-3_3-Nemotron-Super-49B-v1_5 Locally via Ollama 2 Quantized GGUF Easy Build

Using the Windows Package Manager is the quickest way to trigger the setup.

Refer to the action plan below to initialize the model.

The installer automatically pulls the model (could be multiple GBs).

The automated script takes care of everything, tailoring the setup to your specs.

📤 Release Hash: 33546df86103c9bb922206762b110149 • 📅 Date: 2026-06-25



  • CPU: modern architecture (Zen 3 / Alder Lake minimum)
  • RAM: 64 GB to avoid OOM crashes on large contexts
  • Disk: high-speed SSD 120 GB to cache model layers
  • Graphics: TensorRT-LLM / vLLM inference engine compatible chip

The Llama-3_3-Nemotron-Super-49B-v1_5 is a large language model designed for both research and commercial applications, featuring a massive 49‑billion parameter architecture. It delivers state‑of‑the‑art performance on reasoning, coding, and multilingual tasks, achieving top scores on standard benchmarks such as MMLU and HumanEval. Thanks to optimized transformer layers and a sparse attention mechanism, the model maintains low inference latency while preserving high accuracy. The model is optimized for deployment on modern GPU clusters, offering scalable throughput and reduced memory footprint through quantization support. These characteristics make it a compelling choice for enterprises seeking high‑performance AI solutions without compromising on cost or speed.

Parameters 49 B
Context length 8 K tokens
Training data ≈1.5 TB text

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