Gemma 7B Finetuned by zamal

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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  
Gemma 7B Finetuned (zamal/gemma-7b-finetuned)

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

Gemma 7B Finetuned Parameters and Internals

LLM NameGemma 7B Finetuned
RepositoryOpen on ๐Ÿค— 
Model Size7b
Required VRAM7.6 GB
Updated2024-06-24
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
Initializer Range0.02
Torch Data Typefloat32

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Original data from HuggingFace, OpenCompass and various public git repos.
Release v2024042801