Gemma Ko 7B Instruct V0.52 by lemon-mint

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  Autotrain compatible   Base model:beomi/gemma-ko-7b   Conversational   En   Endpoints compatible   Gemma   Instruct   Ko   Korean   License:other   Pytorch   Region:us   Safetensors   Sharded   Tensorflow

Rank the Gemma Ko 7B Instruct V0.52 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 Ko 7B Instruct V0.52 (lemon-mint/gemma-ko-7b-instruct-v0.52)

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Note: green Score (e.g. "73.2") means that the model is better than lemon-mint/gemma-ko-7b-instruct-v0.52.

Gemma Ko 7B Instruct V0.52 Parameters and Internals

LLM NameGemma Ko 7B Instruct V0.52
RepositoryOpen on ๐Ÿค— 
Base Model(s)  Gemma Ko 7B   beomi/gemma-ko-7b
Model Size7b
Required VRAM17 GB
Model Typegemma
Model Files  2.9 GB: 1-of-6   2.9 GB: 2-of-6   3.0 GB: 3-of-6   2.9 GB: 4-of-6   2.9 GB: 5-of-6   2.4 GB: 6-of-6
Supported Languagesko en
Model ArchitectureGemmaForCausalLM
Context Length8192
Model Max Length8192
Transformers Version4.40.0.dev0
Tokenizer ClassGemmaTokenizer
Padding Token<pad>
Vocabulary Size256000
Initializer Range0.02
Torch Data Typebfloat16

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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20240042001