Running this model locally is fastest when deployed through a PowerShell script.
Make sure to follow the instructions below.
Everything happens automatically, including the heavy cloud asset download.
To save you time, the system will automatically determine efficient resource allocation.
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đ Hash sum: db5444419866926df6eca97168a838e4 | đ
Last update: 2026-07-07
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The gemma-4-26B-A4B-it-NVFP4 model represents a significant advancement in openâsource language models, delivering superior performance across a wide range of benchmarks. It features a massive 26âŻbillion parameters combined with an A4B architecture that enhances inference efficiency and reduces memory footprint. The model supports an extended context window of up to 128âŻK tokens, enabling deeper understanding of long documents and complex reasoning tasks. In comparison to its predecessors, gemma-4-26B-A4B-it-NVFP4 demonstrates a 30âŻ% improvement in factual accuracy and a 25âŻ% reduction in inference latency on standard benchmarks. Its training pipeline leverages a curated dataset of 1.5âŻtrillion tokens, ensuring robust multilingual capabilities and strong safety alignment.
| Specification | Value |
|---|---|
| Parameter Count | 26âŻB |
| Context Length | 128âŻK tokens |
| Training Tokens | 1.5âŻT |
| Architecture | A4B |
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