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Gemma 2 9B 4bit by mlx-community

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Gemma 2 9B 4bit is an open-source language model by mlx-community. Features: 9b LLM, VRAM: 5.2GB, Context: 8K, License: gemma, Quantized, LLM Explorer Score: 0.27, ELO: 1265.

  4bit   Endpoints compatible   Gemma2   Mlx   Quantized   Region:us   Safetensors
Model Card on HF 🤗: https://huggingface.co/mlx-community/gemma-2-9b-4bit 

Gemma 2 9B 4bit Benchmarks

LMSys ELO: 1265 vs 1272 (so35)-0.6%
LLME Score: 0.26665
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 4bit (mlx-community/gemma-2-9b-4bit)
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Gemma 2 9B 4bit Parameters and Internals

Model Type 
text-generation
Additional Notes 
Model was converted to MLX format using mlx-lm version 0.15.0.
LLM NameGemma 2 9B 4bit
Repository 🤗https://huggingface.co/mlx-community/gemma-2-9b-4bit 
Base Model(s)  Gemma 2 9B It Lora Yt Titles   AdamLucek/gemma-2-9b-it-lora-yt-titles
Model Size9b
Required VRAM5.2 GB
Updated2026-05-08
Maintainermlx-community
Model Typegemma2
Model Files  5.2 GB
Quantization Type4bit
Model ArchitectureGemma2ForCausalLM
Licensegemma
Context Length8192
Model Max Length8192
Transformers Version4.42.0.dev0
Tokenizer ClassGemmaTokenizer
Padding Token<pad>
Vocabulary Size256000
Torch Data Typefloat32

Best Alternatives to Gemma 2 9B 4bit

Best Alternatives
Context / RAM
Downloads
Likes
GWQ 9B Preview8K / 18.6 GB253
Gemma 2 9B 8bit8K / 9.8 GB2599
Gemma 2 9B It Bnb 4bit8K / 6.1 GB2776331
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-4bit.

Rank the Gemma 2 9B 4bit Capabilities

🆘 Have you tried this model? Rate its performance. This feedback would greatly assist ML community in identifying the most suitable model for their needs. Your contribution really does make a difference! 🌟

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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