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Gemma 4 26B A4B It Qat OptiQ 4bit by mlx-community

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Gemma 4 26B A4B It Qat OptiQ 4bit is an open-source language model by mlx-community. Features: 26b LLM, VRAM: 20.7GB, License: apache-2.0, Quantized, LLM Explorer Score: 0.32.

  4-bit   4bit   8bit   Apple-silicon Base model:google/gemma-4-26b-... Base model:quantized:google/ge...   Conversational   Gemma-4   Gemma4   Image-text-to-text   Mixed-precision   Mlx   Moe   Optiq   Q4   Q4 0   Qat   Quantized   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/mlx-community/gemma-4-26B-A4B-it-qat-OptiQ-4bit 

Gemma 4 26B A4B It Qat OptiQ 4bit Benchmarks

LLME Score: 0.31617
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 Qat OptiQ 4bit (mlx-community/gemma-4-26B-A4B-it-qat-OptiQ-4bit)
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Gemma 4 26B A4B It Qat OptiQ 4bit Parameters and Internals

LLM NameGemma 4 26B A4B It Qat OptiQ 4bit
Repository 🤗https://huggingface.co/mlx-community/gemma-4-26B-A4B-it-qat-OptiQ-4bit 
Base Model(s)  google/gemma-4-26B-A4B-it-qat-q4_0-unquantized   google/gemma-4-26B-A4B-it-qat-q4_0-unquantized
Model Size26b
Required VRAM20.7 GB
Updated2026-06-24
Maintainermlx-community
Model Typegemma4
Model Files  5.2 GB: 1-of-4   5.2 GB: 2-of-4   5.3 GB: 3-of-4   5.0 GB: 4-of-4   1.1 GB
Quantization Typeq4|q4_0|4bit
Model ArchitectureGemma4ForConditionalGeneration
Licenseapache-2.0
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 mlx-community/gemma-4-26B-A4B-it-qat-OptiQ-4bit.

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Instruction Following and Task Automation  
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