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Codegemma 7B It GPTQ by TechxGenus

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  4-bit   Autotrain compatible   Conversational   Endpoints compatible   Gemma   Gptq   Quantized   Region:us   Safetensors

Codegemma 7B It GPTQ 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: 0.2156
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 GPTQ Parameters and Internals

Model Type 
text-to-text, text-to-code, decoder-only
Use Cases 
Areas:
code completion, code generation, code conversation, code education
Limitations:
limitations based on training data, ethical concerns
Additional Notes 
Supports Responsible AI development
Supported Languages 
English (Primary)
Training Details 
Data Sources:
publicly available code repositories, open source mathematics datasets, synthetically generated code
Data Volume:
500 billion tokens
Methodology:
FIM Pretraining, dependency graph-based packing, unit test-based lexical packing
Hardware Used:
TPUv5e
Safety Evaluation 
Findings:
evaluation within acceptable thresholds for content safety, representational harms
Risk Categories:
child safety, content safety, representational harms, memorization, large-scale harms
Ethical Considerations:
Tested against autonomous hacking capabilities and potential harms
Responsible Ai Considerations 
Mitigation Strategies:
Implemented safety filtering
Input Output 
Input Format:
Code prefix/suffix or natural language text prompt
Output Format:
Code generation, completion, conversation
LLM NameCodegemma 7B It GPTQ
Repository 🤗https://huggingface.co/TechxGenus/codegemma-7b-it-GPTQ 
Base Model(s)  Codegemma 7B It   google/codegemma-7b-it
Model Size7b
Required VRAM7.2 GB
Updated2024-11-21
MaintainerTechxGenus
Model Typegemma
Model Files  7.2 GB
GPTQ QuantizationYes
Quantization Typegptq
Model ArchitectureGemmaForCausalLM
Licensegemma
Context Length8192
Model Max Length8192
Transformers Version4.39.3
Tokenizer ClassGemmaTokenizer
Padding Token<pad>
Vocabulary Size256000
Torch Data Typefloat16
Codegemma 7B It GPTQ (TechxGenus/codegemma-7b-it-GPTQ)

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Rank the Codegemma 7B It GPTQ 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
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