For the fastest local setup of this model, enabling Windows Features is best.
Proceed by following the technical instructions below.
The loader auto-caches the model archive (several GBs included).
The program scans your VRAM and RAM to seamlessly apply optimal configurations.
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📦 Hash-sum → 129ae587e24127a29fc0a46f20f2e352 | 📌 Updated on 2026-06-29
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The gemma-4-26B-A4B-it-NVFP4 model represents a significant advancement in open‑source language models, delivering superior performance across a wide range of benchmarks. It features a massive 26 billion parameters combined with an A4B architecture that enhances inference efficiency and reduces memory footprint. The model supports an extended context window of up to 128 K tokens, enabling deeper understanding of long documents and complex reasoning tasks. In comparison to its predecessors, gemma-4-26B-A4B-it-NVFP4 demonstrates a 30 % improvement in factual accuracy and a 25 % reduction in inference latency on standard benchmarks. Its training pipeline leverages a curated dataset of 1.5 trillion tokens, ensuring robust multilingual capabilities and strong safety alignment.
| Specification | Value |
|---|---|
| Parameter Count | 26 B |
| Context Length | 128 K tokens |
| Training Tokens | 1.5 T |
| Architecture | A4B |
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