Llama 3 ELYZA JP 8B by elyza

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  Autotrain compatible   Conversational   En   Endpoints compatible   Ja   Llama   Region:us   Safetensors   Sharded   Tensorflow

Llama 3 ELYZA JP 8B Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Llama 3 ELYZA JP 8B (elyza/Llama-3-ELYZA-JP-8B)

Llama 3 ELYZA JP 8B Parameters and Internals

Model Type 
text generation
Supported Languages 
ja (enhanced usage), en (supported)
Training Details 
Data Sources:
meta-llama/Meta-Llama-3-8B-Instruct
Methodology:
Pre-training and instruction tuning for Japanese.
Model Architecture:
Built with Meta Llama3
LLM NameLlama 3 ELYZA JP 8B
Repository ๐Ÿค—https://huggingface.co/elyza/Llama-3-ELYZA-JP-8B 
Model Size8b
Required VRAM16.1 GB
Updated2025-06-01
Maintainerelyza
Model Typellama
Model Files  5.0 GB: 1-of-4   5.0 GB: 2-of-4   4.9 GB: 3-of-4   1.2 GB: 4-of-4
Supported Languagesja en
Model ArchitectureLlamaForCausalLM
Licensellama3
Context Length8192
Model Max Length8192
Transformers Version4.41.2
Tokenizer ClassPreTrainedTokenizerFast
Vocabulary Size128256
Torch Data Typebfloat16

Quantized Models of the Llama 3 ELYZA JP 8B

Model
Likes
Downloads
VRAM
Llama 3 ELYZA JP 8B AWQ492695 GB
Llama 3 ELYZA JP 8B 8bit0648 GB
Llama 3 ELYZA JP 8B 4bit0334 GB

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Note: green Score (e.g. "73.2") means that the model is better than elyza/Llama-3-ELYZA-JP-8B.

Rank the Llama 3 ELYZA JP 8B 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