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Gemma 2 2B It 8bit by mlx-community

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Gemma 2 2B It 8bit is an open-source language model by mlx-community. Features: 2b LLM, VRAM: 2.8GB, Context: 8K, License: gemma, Quantized, LLM Explorer Score: 0.15.

  8bit   Conversational   Endpoints compatible   Gemma2   Mlx   Quantized   Region:us   Safetensors
Model Card on HF 🤗: https://huggingface.co/mlx-community/gemma-2-2b-it-8bit 

Gemma 2 2B It 8bit Benchmarks

LLME Score: 0.14794
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Gemma 2 2B It 8bit (mlx-community/gemma-2-2b-it-8bit)
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Gemma 2 2B It 8bit Parameters and Internals

Model Type 
text-generation
Use Cases 
Areas:
conversational, text-generation
Additional Notes 
The model was converted to MLX format using mlx-lm version 0.16.1.
LLM NameGemma 2 2B It 8bit
Repository 🤗https://huggingface.co/mlx-community/gemma-2-2b-it-8bit 
Model Size2b
Required VRAM2.8 GB
Updated2026-04-07
Maintainermlx-community
Model Typegemma2
Model Files  2.8 GB
Quantization Type8bit
Model ArchitectureGemma2ForCausalLM
Licensegemma
Context Length8192
Model Max Length8192
Transformers Version4.42.4
Tokenizer ClassGemmaTokenizer
Padding Token<pad>
Vocabulary Size256000
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than mlx-community/gemma-2-2b-it-8bit.

Rank the Gemma 2 2B It 8bit 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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