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Codegemma 7B It by google

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  Autotrain compatible   Conversational   Endpoints compatible   Gemma   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/google/codegemma-7b-it 

Codegemma 7B It 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: 0.21512
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 (google/codegemma-7b-it)
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Codegemma 7B It Parameters and Internals

Model Type 
text-to-text, text-to-code, decoder-only
Use Cases 
Primary Use Cases:
code completion, code generation, code conversation, code education
Limitations:
large language models have limitations based on training data
Training Details 
Data Sources:
publicly available code repositories, open source mathematics datasets, synthetically generated code
Data Volume:
500 billion tokens
Hardware Used:
TPUv5e
Safety Evaluation 
Methodologies:
structured evaluations, internal red-teaming testing
Risk Categories:
cyber-offence capabilities, autonomous hacking capabilities
Input Output 
Input Format:
code prefix or suffix for code completion, natural language text
Accepted Modalities:
text
Output Format:
fill-in-the-middle code completion, code and natural language
LLM NameCodegemma 7B It
Repository 🤗https://huggingface.co/google/codegemma-7b-it 
Model Size7b
Required VRAM17.1 GB
Updated2025-09-23
Maintainergoogle
Model Typegemma
Model Files  5.0 GB: 1-of-4   5.0 GB: 2-of-4   5.0 GB: 3-of-4   2.1 GB: 4-of-4
Model ArchitectureGemmaForCausalLM
Licensegemma
Context Length8192
Model Max Length8192
Transformers Version4.39.3
Tokenizer ClassGemmaTokenizer
Padding Token<pad>
Vocabulary Size256000
Torch Data Typebfloat16

Quantized Models of the Codegemma 7B It

Model
Likes
Downloads
VRAM
Codegemma 7B It 8bit511479 GB
Codegemma 7B It 4bit1295 GB
Codegemma 7B It GPTQ107 GB
Codegemma 7B 4bit0175 GB
CodeGemma 7B GPTQ097 GB
Codegemma 7B It GGUF03513 GB

Best Alternatives to Codegemma 7B It

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Context / RAM
Downloads
Likes
Kaggle Math Model Gemma V112K / 17.1 GB50
Gemma 1.1 7B It8K / 17.1 GB13535275
SeaLLM 7B V2.58K / 17.1 GB1607850
Codegemma 7B8K / 17.1 GB54399206
Zephyr 7B Gemma DPO Avg8K / 17.1 GB150
Zephyr 7B Gemma Rpo Avg8K / 17.1 GB60
... Codegemma 2 7B It Alpaca V1.38K / 17.1 GB21
... 7B Finetuned Sft Navarasa 2.08K / 34 GB121822
Zephyr 7B Gemma V0.18K / 17.1 GB193123
Gemma 7B Aps It8K / 17.1 GB348740
Note: green Score (e.g. "73.2") means that the model is better than google/codegemma-7b-it.

Rank the Codegemma 7B It 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 v20241124
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