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Codegemma 7B 4bit by mlx-community

 »  All LLMs  »  mlx-community  »  Codegemma 7B 4bit   URL Share it on

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  4bit   Autotrain compatible   Endpoints compatible   Gemma   Mlx   Quantized   Region:us   Safetensors   Sharded   Tensorflow

Codegemma 7B 4bit 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: 0.21617
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

Codegemma 7B 4bit Parameters and Internals

Model Type 
text generation
Additional Notes 
This model was converted to MLX format using mlx-lm version 0.8.0.
LLM NameCodegemma 7B 4bit
Repository 🤗https://huggingface.co/mlx-community/codegemma-7b-4bit 
Base Model(s)  Codegemma 7B It   google/codegemma-7b-it
Model Size7b
Required VRAM5.9 GB
Updated2024-11-21
Maintainermlx-community
Model Typegemma
Model Files  5.3 GB: 1-of-2   0.6 GB: 2-of-2
Quantization Type4bit
Model ArchitectureGemmaForCausalLM
Licensegemma
Context Length8192
Model Max Length8192
Transformers Version4.39.3
Padding Token<pad>
Vocabulary Size256000
Torch Data Typebfloat16
Codegemma 7B 4bit (mlx-community/codegemma-7b-4bit)

Best Alternatives to Codegemma 7B 4bit

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Codegemma 7B Bnb 4bit8K / 5.6 GB12191
Codegemma 7B It 4bit8K / 5.9 GB121
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Gemma 7B It Bnb 4bit8K / 5.6 GB332713
Gemma 1.1 7B It 4bit8K / 5.9 GB124
Diff Codegemma 7B8K / 17.1 GB150
Note: green Score (e.g. "73.2") means that the model is better than mlx-community/codegemma-7b-4bit.

Rank the Codegemma 7B 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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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241110
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