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Llama 3 8B Japanese Instruct by haqishen

 »  All LLMs  »  haqishen  »  Llama 3 8B Japanese Instruct   URL Share it on

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  Autotrain compatible Base model:finetune:meta-llama... Base model:meta-llama/meta-lla...   Conversational Dataset:fujiki/japanese hh-rlh...   En   Endpoints compatible   Instruct   Ja   Llama   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/haqishen/Llama-3-8B-Japanese-Instruct 

Llama 3 8B Japanese Instruct Benchmarks

LLME Score: 0.18726
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Llama 3 8B Japanese Instruct (haqishen/Llama-3-8B-Japanese-Instruct)

Llama 3 8B Japanese Instruct Parameters and Internals

Model Type 
text generation
Supported Languages 
en (English), ja (Japanese)
Training Details 
Data Sources:
fujiki/japanese_hh-rlhf-49k
Methodology:
Fine-tuning on Japanese conversation dataset.
Context Length:
8192
LLM NameLlama 3 8B Japanese Instruct
Repository 🤗https://huggingface.co/haqishen/Llama-3-8B-Japanese-Instruct 
Base Model(s)  Meta Llama 3 8B Instruct   meta-llama/Meta-Llama-3-8B-Instruct
Model Size8b
Required VRAM16.1 GB
Updated2025-02-22
Maintainerhaqishen
Model Typellama
Instruction-BasedYes
Model Files  2.0 GB: 1-of-9   1.9 GB: 2-of-9   2.0 GB: 3-of-9   1.9 GB: 4-of-9   2.0 GB: 5-of-9   1.9 GB: 6-of-9   2.0 GB: 7-of-9   1.3 GB: 8-of-9   1.1 GB: 9-of-9
Supported Languagesen ja
Model ArchitectureLlamaForCausalLM
Licensellama3
Context Length8192
Model Max Length8192
Transformers Version4.40.0
Tokenizer ClassPreTrainedTokenizerFast
Padding Token<|end_of_text|>
Vocabulary Size128256
Torch Data Typebfloat16

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

Rank the Llama 3 8B Japanese Instruct 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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Release v20241227
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