Gemma 2 9B 8bit by mlx-community

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Gemma 2 9B 8bit is an open-source language model by mlx-community. Features: 9b LLM, VRAM: 9.8GB, Context: 8K, License: gemma, Quantized, LLM Explorer Score: 0.27, ELO: 1265.

  8bit   Endpoints compatible   Gemma2   Mlx   Quantized   Region:us   Safetensors   Sharded   Tensorflow

Gemma 2 9B 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 2 9B 8bit Parameters and Internals

LLM NameGemma 2 9B 8bit
Repository 🤗https://huggingface.co/mlx-community/gemma-2-9b-8bit 
Base Model(s)  Gemma 2 9B It Lora Yt Titles   AdamLucek/gemma-2-9b-it-lora-yt-titles
Model Size9b
Required VRAM9.8 GB
Updated2026-05-11
Maintainermlx-community
Model Typegemma2
Model Files  5.3 GB: 1-of-2   4.5 GB: 2-of-2
Quantization Type8bit
Model ArchitectureGemma2ForCausalLM
Licensegemma
Context Length8192
Model Max Length8192
Transformers Version4.42.0.dev0
Tokenizer ClassGemmaTokenizer
Padding Token<pad>
Vocabulary Size256000
Torch Data Typefloat32

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SASTRI 1 9B8K / 6.1 GB70
Gemma 2 9B Bnb 4bit8K / 6.1 GB1054331
Gemma 2 9B It Finance8K / 18.6 GB80
Athena Gemma 2 2B It8K / 23.8 GB02
Gemma 2 9B It 4bit8K / 5.2 GB142472
Gemma 2 9B It Ko RAG Bnb 4bit8K / 6.1 GB1550
...ma 2 9B It Ko ChatRAG Bnb 4bit8K / 6.1 GB50
Note: green Score (e.g. "73.2") means that the model is better than mlx-community/gemma-2-9b-8bit.

Rank the Gemma 2 9B 8bit 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