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Gemma Ko 7B Instruct V0.62 by lemon-mint

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  Autotrain compatible Base model:finetune:openchat/o... Base model:openchat/openchat-3...   Conversational   En   Endpoints compatible   Gemma   Instruct   Ko   Korean   Pytorch   Region:us   Safetensors   Sharded   Tensorflow

Gemma Ko 7B Instruct V0.62 Benchmarks

ARC: 63.31 vs 96.7 (so35)-34.5%
HellaSwag: 79.62 vs 95.3 (gpt4)-16.5%
MMLU: 64.39 vs 88.3 (so35)-27.1%
TruthfulQA: 51.12 vs 59 (gpt4)-13.4%
WinoGrande: 76.8 vs 87.5 (gpt4)-12.2%
GSM8K: 71.57 vs 96.4 (so35)-25.8%
LLME Score: 0.24594
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 V0.62 Parameters and Internals

Model Type 
text generation
Use Cases 
Areas:
natural language processing
Applications:
language translation, text summarization, question answering, conversation generation
Limitations:
Bias from extensive web data, Possible generation of errors or incorrect information
Considerations:
Refer to the model's output with caution.
Additional Notes 
The model is particularly well-suited for applications requiring high-quality, coherent, and contextually relevant Korean text generation.
Supported Languages 
Korean (advanced), English (unknown proficiency)
LLM NameGemma Ko 7B Instruct V0.62
Repository 🤗https://huggingface.co/lemon-mint/gemma-ko-7b-instruct-v0.62 
Base Model(s)  openchat/openchat-3.5-0106-gemma   openchat/openchat-3.5-0106-gemma
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 V0.62 (lemon-mint/gemma-ko-7b-instruct-v0.62)

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Note: green Score (e.g. "73.2") means that the model is better than lemon-mint/gemma-ko-7b-instruct-v0.62.

Rank the Gemma Ko 7B Instruct V0.62 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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