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ELYZA Japanese Llama 2 7B Fast by elyza

 »  All LLMs  »  elyza  »  ELYZA Japanese Llama 2 7B Fast   URL Share it on

  2420   
  Arxiv:2307.09288   Autotrain compatible   En   Endpoints compatible   Ja   Llama   Pytorch   Region:us   Sharded
Model Card on HF 🤗: https://huggingface.co/elyza/ELYZA-japanese-Llama-2-7b-fast 

ELYZA Japanese Llama 2 7B Fast Benchmarks

ARC: 51.88 vs 96.7 (so35)-46.3%
HellaSwag: 75.46 vs 95.3 (gpt4)-20.8%
MMLU: 44.34 vs 88.3 (so35)-49.8%
TruthfulQA: 36.45 vs 59 (gpt4)-38.2%
WinoGrande: 71.59 vs 87.5 (gpt4)-18.2%
GSM8K: 6.29 vs 96.4 (so35)-93.5%
LLME Score: 0.1569
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
ELYZA Japanese Llama 2 7B Fast (elyza/ELYZA-japanese-Llama-2-7b-fast)
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ELYZA Japanese Llama 2 7B Fast 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 Fast
Repository 🤗https://huggingface.co/elyza/ELYZA-japanese-Llama-2-7b-fast 
Model Size7b
Required VRAM13.7 GB
Updated2025-09-23
Maintainerelyza
Model Typellama
Model Files  10.0 GB: 1-of-2   3.7 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 Size45043
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-fast.

Rank the ELYZA Japanese Llama 2 7B Fast Capabilities

🆘 Have you tried this model? Rate its performance. This feedback would greatly assist ML community in identifying the most suitable model for their needs. Your contribution really does make a difference! 🌟

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 v20241124
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