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Gemma Ko 7B Instruct V0.71 by lemon-mint

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  Autotrain compatible Base model:finetune:google/gem... Base model:google/gemma-1.1-7b...   Conversational   En   Endpoints compatible   Gemma   Instruct   Ko   Korean   Pytorch   Region:us   Safetensors   Sharded   Tensorflow

Gemma Ko 7B Instruct V0.71 Benchmarks

ARC: 55.03 vs 96.7 (so35)-43.1%
HellaSwag: 77.46 vs 95.3 (gpt4)-18.7%
MMLU: 59.72 vs 88.3 (so35)-32.4%
TruthfulQA: 51.72 vs 59 (gpt4)-12.3%
WinoGrande: 69.77 vs 87.5 (gpt4)-20.3%
GSM8K: 41.7 vs 96.4 (so35)-56.7%
LLME Score: 0.24637
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

Gemma Ko 7B Instruct V0.71 Parameters and Internals

Model Type 
Gemma
Additional Notes 
The model is designed for generating high-quality, coherent, and contextually relevant Korean text and has been finetuned from the base model google/gemma-1.1-7b-it.
Supported Languages 
Korean (High), English (High)
LLM NameGemma Ko 7B Instruct V0.71
Repository 🤗https://huggingface.co/lemon-mint/gemma-ko-7b-instruct-v0.71 
Base Model(s)  google/gemma-1.1-7b-it   google/gemma-1.1-7b-it
Model Size7b
Required VRAM17 GB
Updated2024-11-21
Maintainerlemon-mint
Model Typegemma
Instruction-BasedYes
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
Licensegemma
Context Length8192
Model Max Length8192
Transformers Version4.40.0.dev0
Tokenizer ClassGemmaTokenizer
Padding Token<pad>
Vocabulary Size256000
Torch Data Typebfloat16
Gemma Ko 7B Instruct V0.71 (lemon-mint/gemma-ko-7b-instruct-v0.71)

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Rank the Gemma Ko 7B Instruct V0.71 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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Release v20241110
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