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Quantized Gemma 7B It by mlx-community

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  Autotrain compatible   Conversational   Endpoints compatible   Gemma   Mlx   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/mlx-community/quantized-gemma-7b-it 

Quantized Gemma 7B It Benchmarks

LLME Score: 0.15215
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Quantized Gemma 7B It (mlx-community/quantized-gemma-7b-it)
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Quantized Gemma 7B It Parameters and Internals

Additional Notes 
This model was converted to MLX format from google/gemma-2b-it.
LLM NameQuantized Gemma 7B It
Repository 🤗https://huggingface.co/mlx-community/quantized-gemma-7b-it 
Model Size7b
Required VRAM5.9 GB
Updated2025-07-01
Maintainermlx-community
Model Typegemma
Model Files  5.3 GB: 1-of-2   0.6 GB: 2-of-2
Model ArchitectureGemmaForCausalLM
Licenseother
Context Length8192
Model Max Length8192
Transformers Version4.38.0
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/quantized-gemma-7b-it.

Rank the Quantized Gemma 7B It Capabilities

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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124
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