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Gemma 4 26B A4B NVFP4 by nvidia

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Gemma 4 26B A4B NVFP4 is an open-source language model by nvidia. Features: 26b LLM, VRAM: 18.8GB, License: other, LLM Explorer Score: 0.43.

  8-bit Base model:google/gemma-4-26b-... Base model:quantized:google/ge...   Conversational   Gemma4   Gemma4-26b-a4b-it   Model optimizer   Modelopt   Nvfp4   Nvidia   Quantized   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/nvidia/Gemma-4-26B-A4B-NVFP4 

Gemma 4 26B A4B NVFP4 Benchmarks

LLME Score: 0.4285
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Gemma 4 26B A4B NVFP4 (nvidia/Gemma-4-26B-A4B-NVFP4)
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Gemma 4 26B A4B NVFP4 Parameters and Internals

LLM NameGemma 4 26B A4B NVFP4
Repository 🤗https://huggingface.co/nvidia/Gemma-4-26B-A4B-NVFP4 
Base Model(s)  Gemma 4 26B A4B It   google/gemma-4-26B-A4B-it
Model Size26b
Required VRAM18.8 GB
Updated2026-06-07
Maintainernvidia
Model Typegemma4
Model Files  10.0 GB: 1-of-2   8.8 GB: 2-of-2
Model ArchitectureGemma4ForConditionalGeneration
Licenseother
Transformers Version5.6.2
Tokenizer ClassGemmaTokenizer
Padding Token<pad>

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Note: green Score (e.g. "73.2") means that the model is better than nvidia/Gemma-4-26B-A4B-NVFP4.

Rank the Gemma 4 26B A4B NVFP4 Capabilities

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Instruction Following and Task Automation  
Factuality and Completeness of Knowledge  
Censorship and Alignment  
Data Analysis and Insight Generation  
Text Generation  
Text Summarization and Feature Extraction  
Code Generation  
Multi-Language Support and Translation  

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