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

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

Gemma Ko 7B Instruct V0.52 Benchmarks

LLME Score: 0.21751
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 V0.52 Parameters and Internals

Model Type 
text generation
Use Cases 
Areas:
NLP
Applications:
Natural language processing tasks, such as language translation, text summarization, question answering, and conversation generation.
Limitations:
Biases from web data, Possibility of generating errors or incorrect information
Considerations:
Necessary to refer to outputs with caution.
Supported Languages 
Korean (fluent), English (fluent)
Training Details 
Data Sources:
extensive web data
Methodology:
fine-tuning
Responsible Ai Considerations 
Fairness:
Biases present in the training data may be reflected in the model.
LLM NameGemma Ko 7B Instruct V0.52
Repository 🤗https://huggingface.co/lemon-mint/gemma-ko-7b-instruct-v0.52 
Base Model(s)  Gemma Ko 7B   beomi/gemma-ko-7b
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
Licenseother
Context Length8192
Model Max Length8192
Transformers Version4.40.0.dev0
Tokenizer ClassGemmaTokenizer
Padding Token<pad>
Vocabulary Size256000
Torch Data Typebfloat16
Gemma Ko 7B Instruct V0.52 (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.

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  

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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241110
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