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CodeGemma 7B GPTQ by TechxGenus

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

CodeGemma 7B 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: 0.20751
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

CodeGemma 7B GPTQ Parameters and Internals

Model Type 
text generation
Use Cases 
Primary Use Cases:
Text Generation, Code Generation
Limitations:
Errors in non-coding tasks, Misleading content
Considerations:
Model has undergone limited testing; additional safety testing recommended before real-world deployment.
Additional Notes 
Model is the GPTQ quantized version and makes use of DeepSpeed ZeRO 3 and Flash Attention 2 for training acceleration.
Training Details 
Data Sources:
High-quality, code-related tokens
Data Volume:
0.7 billion tokens
Methodology:
Fine-tuning
Input Output 
Input Format:
Alpaca instruction format, excluding the system prompt
Output Format:
Generated text
Performance Tips:
Additional safety testing should be performed before deployment.
LLM NameCodeGemma 7B GPTQ
Repository 🤗https://huggingface.co/TechxGenus/CodeGemma-7b-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
Licenseother
Context Length8192
Model Max Length8192
Transformers Version4.39.0.dev0
Tokenizer ClassGemmaTokenizer
Padding Token<eos>
Vocabulary Size256000
Torch Data Typefloat16
CodeGemma 7B GPTQ (TechxGenus/CodeGemma-7b-GPTQ)

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Note: green Score (e.g. "73.2") means that the model is better than TechxGenus/CodeGemma-7b-GPTQ.

Rank the CodeGemma 7B GPTQ 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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