Gemma 4 26B A4b Mlx Imatrix3plus AWQ High6 Top40 by hsng95

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Gemma 4 26B A4b Mlx Imatrix3plus AWQ High6 Top40 is an open-source language model by hsng95. Features: 26b LLM, VRAM: 15.5GB, License: apache-2.0, Quantized, LLM Explorer Score: 0.29.

  3-bit   Apple-silicon   Awq Base model:google/gemma-4-26b-... Base model:quantized:google/ge...   Conversational   En   Gemma   Gemma4   Imatrix   Ko   Korean   Mixed-precision   Mlx   Quantized   Region:us   Safetensors   Sharded   Tensorflow

Gemma 4 26B A4b Mlx Imatrix3plus AWQ High6 Top40 Benchmarks

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 Mlx Imatrix3plus AWQ High6 Top40 Parameters and Internals

LLM NameGemma 4 26B A4b Mlx Imatrix3plus AWQ High6 Top40
Repository 🤗https://huggingface.co/hsng95/gemma-4-26b-a4b-mlx-imatrix3plus-awq-high6-top40 
Base Model(s)  google/gemma-4-26B-A4B-it   google/gemma-4-26B-A4B-it
Model Size26b
Required VRAM15.5 GB
Updated2026-05-25
Maintainerhsng95
Model Typegemma4
Model Files  5.3 GB: 1-of-3   5.2 GB: 2-of-3   5.0 GB: 3-of-3
Supported Languagesko en
AWQ QuantizationYes
Quantization Typeawq
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 hsng95/gemma-4-26b-a4b-mlx-imatrix3plus-awq-high6-top40.

Rank the Gemma 4 26B A4b Mlx Imatrix3plus AWQ High6 Top40 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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Release v20260328a