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Gemma 4 26B A4b It 8bit by mlx-community

By mlx-community · 2917 downloads

Gemma 4 26B A4b It 8bit is an open-source language model by mlx-community. Features: 26b LLM, VRAM: 27.9GB, License: apache-2.0, Quantized, LLM Explorer Score: 0.42, ELO: 1438.

  8-bit   8bit Base model:google/gemma-4-26b-... Base model:quantized:google/ge...   Conversational   Gemma4   Image-text-to-text   Mlx   Quantized   Region:us   Safetensors   Sharded   Tensorflow

Gemma 4 26B A4b It 8bit 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 It 8bit Parameters and Internals

LLM NameGemma 4 26B A4b It 8bit
Repository πŸ€—https://huggingface.co/mlx-community/gemma-4-26b-a4b-it-8bit 
Base Model(s)  Gemma 4 26B A4B It   google/gemma-4-26B-A4B-it
Model Size26b
Required VRAM27.9 GB
Updated2026-08-08
Maintainermlx-community
Model Typegemma4
Model Files  5.2 GB: 1-of-6   5.2 GB: 2-of-6   5.2 GB: 3-of-6   5.2 GB: 4-of-6   5.2 GB: 5-of-6   1.9 GB: 6-of-6
Quantization Type8bit
Model ArchitectureGemma4ForConditionalGeneration
Licenseapache-2.0
Transformers Version5.5.0.dev0
Tokenizer ClassGemmaTokenizer
Padding Token<pad>

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Gemma 4 26B A4b 8bit0K / 27.9 GB1627
Gemma 4 26B A4b It 5bit0K / 18.5 GB1113
Gemma 4 26B A4b 6bit0K / 21.7 GB603
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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-8bit.