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Gemma 4 26B A4b It 4bit by mlx-community

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Gemma 4 26B A4b It 4bit is an open-source language model by mlx-community. Features: 26b LLM, VRAM: 15.6GB, License: apache-2.0, Quantized, LLM Explorer Score: 0.5, ELO: 1438.

  4-bit   4bit   Conversational   Gemma4   Image-text-to-text   Mlx   Quantized   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/mlx-community/gemma-4-26b-a4b-it-4bit 

Gemma 4 26B A4b It 4bit Benchmarks

LMSys ELO: 1438 vs 1272 (so35)13.1%
LLME Score: 0.49661
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 It 4bit (mlx-community/gemma-4-26b-a4b-it-4bit)
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Gemma 4 26B A4b It 4bit Parameters and Internals

LLM NameGemma 4 26B A4b It 4bit
Repository 🤗https://huggingface.co/mlx-community/gemma-4-26b-a4b-it-4bit 
Base Model(s)  google/gemma-4-26b-a4b-it   google/gemma-4-26b-a4b-it
Model Size26b
Required VRAM15.6 GB
Updated2026-05-05
Maintainermlx-community
Model Typegemma4
Model Files  5.3 GB: 1-of-3   5.3 GB: 2-of-3   5.0 GB: 3-of-3
Quantization Type4bit
Model ArchitectureGemma4ForConditionalGeneration
Licenseapache-2.0
Transformers Version5.5.0.dev0
Tokenizer ClassGemmaTokenizer
Padding Token<pad>

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Note: green Score (e.g. "73.2") means that the model is better than mlx-community/gemma-4-26b-a4b-it-4bit.

Rank the Gemma 4 26B A4b It 4bit 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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