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Llama 2 Ko Instruct 13B by daekeun-ml

 »  All LLMs  »  daekeun-ml  »  Llama 2 Ko Instruct 13B   URL Share it on

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  Autotrain compatible   Dataset:beomi/koalpaca-v1.1a Dataset:kyujinpy/kopen-platypu...   Endpoints compatible   Instruct   Instruction   Ko   Llama   Llama2   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/daekeun-ml/Llama-2-ko-instruct-13B 

Llama 2 Ko Instruct 13B Benchmarks

LLME Score: 0.17504
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Llama 2 Ko Instruct 13B (daekeun-ml/Llama-2-ko-instruct-13B)

Llama 2 Ko Instruct 13B Parameters and Internals

Model Type 
text-generation
Additional Notes 
This model was created as a personal experiment, unrelated to the organization I work for.
LLM NameLlama 2 Ko Instruct 13B
Repository 🤗https://huggingface.co/daekeun-ml/Llama-2-ko-instruct-13B 
Model Size13b
Required VRAM26.2 GB
Updated2025-01-02
Maintainerdaekeun-ml
Model Typellama
Instruction-BasedYes
Model Files  1.9 GB: 1-of-14   1.9 GB: 2-of-14   1.9 GB: 3-of-14   1.9 GB: 4-of-14   1.9 GB: 5-of-14   1.9 GB: 6-of-14   1.9 GB: 7-of-14   1.9 GB: 8-of-14   1.9 GB: 9-of-14   1.9 GB: 10-of-14   1.9 GB: 11-of-14   1.9 GB: 12-of-14   1.9 GB: 13-of-14   1.5 GB: 14-of-14
Supported Languagesko
Model ArchitectureLlamaForCausalLM
Licensellama2
Context Length2048
Model Max Length2048
Transformers Version4.34.1
Tokenizer ClassLlamaTokenizer
Padding Token</s>
Vocabulary Size46336
Torch Data Typefloat16

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Note: green Score (e.g. "73.2") means that the model is better than daekeun-ml/Llama-2-ko-instruct-13B.

Rank the Llama 2 Ko Instruct 13B 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 v20241227
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