Codegemma 7B It by google

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  Autotrain compatible   Conversational   Endpoints compatible   Gemma   Region:us   Safetensors   Sharded   Tensorflow

Codegemma 7B It Benchmarks

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 ๐Ÿค—https://huggingface.co/google/codegemma-7b-it 
Model Size7b
Required VRAM17.1 GB
Updated2024-11-21
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
Codegemma 7B It (google/codegemma-7b-it)

Quantized Models of the Codegemma 7B It

Model
Likes
Downloads
VRAM
Codegemma 7B It 8bit41839 GB
Codegemma 7B 4bit0285 GB
Codegemma 7B It 4bit1125 GB
Codegemma 7B It GPTQ117 GB
CodeGemma 7B GPTQ0367 GB
Codegemma 7B It GGUF04443 GB

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

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

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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241110