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Gemma 4 12B It Qat OptiQ 4bit by mlx-community

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Gemma 4 12B It Qat OptiQ 4bit is an open-source language model by mlx-community. Features: 12b LLM, VRAM: 8.9GB, License: apache-2.0, Quantized, LLM Explorer Score: 0.35.

  4-bit   4bit   8bit   Apple-silicon Base model:google/gemma-4-12b-... Base model:quantized:google/ge...   Conversational   Gemma-4   Gemma4 unified   Image-text-to-text   Mixed-precision   Mlx   Optiq   Q4   Q4 0   Qat   Quantized   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/mlx-community/gemma-4-12B-it-qat-OptiQ-4bit 

Gemma 4 12B It Qat OptiQ 4bit Benchmarks

LLME Score: 0.35418
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Gemma 4 12B It Qat OptiQ 4bit (mlx-community/gemma-4-12B-it-qat-OptiQ-4bit)
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Gemma 4 12B It Qat OptiQ 4bit Parameters and Internals

LLM NameGemma 4 12B It Qat OptiQ 4bit
Repository 🤗https://huggingface.co/mlx-community/gemma-4-12B-it-qat-OptiQ-4bit 
Base Model(s)  google/gemma-4-12B-it-qat-q4_0-unquantized   google/gemma-4-12B-it-qat-q4_0-unquantized
Model Size12b
Required VRAM8.9 GB
Updated2026-06-21
Maintainermlx-community
Model Typegemma4_unified
Model Files  5.4 GB: 1-of-2   3.5 GB: 2-of-2   0.1 GB
Quantization Typeq4|q4_0|4bit
Model ArchitectureGemma4UnifiedForConditionalGeneration
Licenseapache-2.0
Transformers Version5.10.0.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-4-12B-it-qat-OptiQ-4bit.

Rank the Gemma 4 12B It Qat OptiQ 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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