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Codegemma 7B It 8bit by mlx-community

 »  All LLMs  »  mlx-community  »  Codegemma 7B It 8bit   URL Share it on

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  8bit   Autotrain compatible   Conversational   Endpoints compatible   Gemma   Mlx   Quantized   Region:us   Safetensors   Sharded   Tensorflow

Codegemma 7B It 8bit Benchmarks

ARC: 53.84 vs 96.7 (so35)-44.3%
HellaSwag: 72.51 vs 95.3 (gpt4)-23.9%
MMLU: 56.1 vs 88.3 (so35)-36.5%
TruthfulQA: 48.52 vs 59 (gpt4)-17.8%
WinoGrande: 66.22 vs 87.5 (gpt4)-24.3%
GSM8K: 52.46 vs 96.4 (so35)-45.6%
HumanEvalA: 27.76
Python Eva: 52.74 vs 92 (so35)-42.7%
Java Eval: 41.42
Javascript: 47.71
CPP Eval: 42.6
PHP Eval: 19.18
Julia Eval: 19.56
D Eval: 11.83
Lua Eval: 22.02
R Eval: 21.64
Racket Eva: 9.22
Rust Eval: 38.31
Swift Eval: 6.91
LLME Score: 0.23428
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

Codegemma 7B It 8bit Parameters and Internals

LLM NameCodegemma 7B It 8bit
Repository 🤗https://huggingface.co/mlx-community/codegemma-7b-it-8bit 
Base Model(s)  Codegemma 7B It   google/codegemma-7b-it
Model Size7b
Required VRAM9.5 GB
Updated2024-09-07
Maintainermlx-community
Model Typegemma
Model Files  5.3 GB: 1-of-2   4.2 GB: 2-of-2
Quantization Type8bit
Model ArchitectureGemmaForCausalLM
Licensegemma
Context Length8192
Model Max Length8192
Transformers Version4.39.3
Padding Token<pad>
Vocabulary Size256000
Torch Data Typebfloat16
Codegemma 7B It 8bit (mlx-community/codegemma-7b-it-8bit)

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Note: green Score (e.g. "73.2") means that the model is better than mlx-community/codegemma-7b-it-8bit.

Rank the Codegemma 7B It 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  
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Multi-Language Support and Translation  

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Original data from HuggingFace, OpenCompass and various public git repos.
Release v2024072803
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