Gemma 7B Finetuned by zamal

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Gemma 7B Finetuned Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Gemma 7B Finetuned (zamal/gemma-7b-finetuned)

Gemma 7B Finetuned Parameters and Internals

Model Type 
text generation
Use Cases 
Areas:
content creation, marketing, AI development
Applications:
chatbot interactions, creative writing processes
Training Details 
Methodology:
QLORA (Quantized Low Rank Adaptation)
LLM NameGemma 7B Finetuned
Repository ๐Ÿค—https://huggingface.co/zamal/gemma-7b-finetuned 
Model Size7b
Required VRAM7.6 GB
Updated2025-02-22
Maintainerzamal
Model Typegemma
Model Files  5.0 GB: 1-of-2   2.6 GB: 2-of-2
Model ArchitectureGemmaForCausalLM
Licensemit
Context Length8192
Model Max Length8192
Transformers Version4.38.0
Tokenizer ClassGemmaTokenizer
Padding Token<pad>
Vocabulary Size256000
Torch Data Typefloat32

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Note: green Score (e.g. "73.2") means that the model is better than zamal/gemma-7b-finetuned.

Rank the Gemma 7B Finetuned 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 v20241227