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Gemma 2 9B Fp16 by mlx-community

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  Autotrain compatible   Endpoints compatible   Fp16   Gemma2   Mlx   Quantized   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/mlx-community/gemma-2-9b-fp16 

Gemma 2 9B Fp16 Benchmarks

LLME Score: 0.19613
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 Fp16 (mlx-community/gemma-2-9b-fp16)

Gemma 2 9B Fp16 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 Fp16
Repository 🤗https://huggingface.co/mlx-community/gemma-2-9b-fp16 
Model Size9b
Required VRAM18.5 GB
Updated2025-02-22
Maintainermlx-community
Model Typegemma2
Model Files  5.3 GB: 1-of-4   5.3 GB: 2-of-4   5.4 GB: 3-of-4   2.5 GB: 4-of-4
Quantization Typefp16
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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Note: green Score (e.g. "73.2") means that the model is better than mlx-community/gemma-2-9b-fp16.

Rank the Gemma 2 9B Fp16 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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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227
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