ELYZA Japanese Llama 2 7B 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 7B Instruct Benchmarks

ELYZA Japanese Llama 2 7B Instruct (elyza/ELYZA-japanese-Llama-2-7b-instruct)

ELYZA Japanese Llama 2 7B Instruct Parameters and Internals

Model Type 
text generation
Use Cases 
Areas:
research, language processing, commercial applications
Additional Notes 
The model is specifically designed for enhancing Japanese language capabilities based on Llama2.
Supported Languages 
ja (Advanced), en (Advanced)
Input Output 
Input Format:
Text prompt
Accepted Modalities:
text
Output Format:
generated text
LLM NameELYZA Japanese Llama 2 7B Instruct
Repository ๐Ÿค—https://huggingface.co/elyza/ELYZA-japanese-Llama-2-7b-instruct 
Model Size7b
Required VRAM13.5 GB
Updated2025-03-12
Maintainerelyza
Model Typellama
Instruction-BasedYes
Model Files  10.0 GB: 1-of-2   3.5 GB: 2-of-2
Supported Languagesja en
Model ArchitectureLlamaForCausalLM
Licensellama2
Context Length4096
Model Max Length4096
Transformers Version4.30.2
Tokenizer ClassLlamaTokenizer
Beginning of Sentence Token<s>
End of Sentence Token</s>
Unk Token<unk>
Vocabulary Size32000
Torch Data Typefloat16

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Note: green Score (e.g. "73.2") means that the model is better than elyza/ELYZA-japanese-Llama-2-7b-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 v20241227