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Ko Llama 3.1 5B Instruct by kikikara

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  Autotrain compatible   Conversational   Endpoints compatible   Instruct   Ko   Llama   Region:us   Safetensors   Sft   Sharded   Tensorflow   Trl
Model Card on HF 🤗: https://huggingface.co/kikikara/ko-llama-3.1-5b-instruct 

Ko Llama 3.1 5B Instruct Benchmarks

LLME Score: 0.21347
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Ko Llama 3.1 5B Instruct (kikikara/ko-llama-3.1-5b-instruct)

Ko Llama 3.1 5B Instruct Parameters and Internals

Model Type 
text generation
Supported Languages 
Korean (Fluent)
Training Details 
Methodology:
The model was trained by deleting 10 layers from the original Meta-Llama-3.1-8B-Instruct model's 32 layers and training the remainder.
LLM NameKo Llama 3.1 5B Instruct
Repository 🤗https://huggingface.co/kikikara/ko-llama-3.1-5b-instruct 
Model Size5b
Required VRAM23.4 GB
Updated2025-01-20
Maintainerkikikara
Model Typellama
Instruction-BasedYes
Model Files  4.9 GB: 1-of-5   4.8 GB: 2-of-5   5.0 GB: 3-of-5   5.0 GB: 4-of-5   3.7 GB: 5-of-5
Supported Languagesko
Model ArchitectureLlamaForCausalLM
Licensellama3.1
Context Length131072
Model Max Length131072
Transformers Version4.43.1
Tokenizer ClassPreTrainedTokenizerFast
Padding Token<|eot_id|>
Vocabulary Size128256
Torch Data Typefloat32

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Llama 3.1 5B Instruct8K / 10.9 GB1757
Note: green Score (e.g. "73.2") means that the model is better than kikikara/ko-llama-3.1-5b-instruct.

Rank the Ko Llama 3.1 5B Instruct 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 v20241227
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