ELYZA Japanese Llama 2 13B Instruct by elyza

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  Arxiv:2307.09288   Autotrain compatible   En   Endpoints compatible   Instruct   Ja   Llama   Pytorch   Region:us   Sharded

ELYZA Japanese Llama 2 13B Instruct Benchmarks

ELYZA Japanese Llama 2 13B Instruct (elyza/ELYZA-japanese-Llama-2-13b-instruct)
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ELYZA Japanese Llama 2 13B Instruct Parameters and Internals

Model Type 
text generation
Additional Notes 
The model is meant to enhance Japanese language capabilities based on the Llama 2 model, tailored for specific assistance tasks.
Supported Languages 
ja (Advanced), en (Advanced)
Training Details 
Data Sources:
Llama 2 base data
Methodology:
Additional pre-training for enhanced Japanese capability
Input Output 
Input Format:
[INST] {system} [/] {prompts} [/]
Accepted Modalities:
text
Output Format:
Textual response
Performance Tips:
Use device_map='auto' and ensure use of optimized configurations for best performance.
LLM NameELYZA Japanese Llama 2 13B Instruct
Repository ๐Ÿค—https://huggingface.co/elyza/ELYZA-japanese-Llama-2-13b-instruct 
Model Size13b
Required VRAM26 GB
Updated2025-08-18
Maintainerelyza
Model Typellama
Instruction-BasedYes
Model Files  9.9 GB: 1-of-3   9.9 GB: 2-of-3   6.2 GB: 3-of-3
Supported Languagesja en
Model ArchitectureLlamaForCausalLM
Licensellama2
Context Length4096
Model Max Length4096
Transformers Version4.34.1
Tokenizer ClassLlamaTokenizer
Padding Token</s>
Vocabulary Size32000
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than elyza/ELYZA-japanese-Llama-2-13b-instruct.

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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 v20241124