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BigTranslate by James-WYang

 »  All LLMs  »  James-WYang  »  BigTranslate   URL Share it on

  865   
  Arxiv:2305.18098   Autotrain compatible   Endpoints compatible   Llama   Pytorch   Region:us   Sharded
Model Card on HF 🤗: https://huggingface.co/James-WYang/BigTranslate 

BigTranslate Benchmarks

LLME Score: 0.09956
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
BigTranslate (James-WYang/BigTranslate)
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BigTranslate Parameters and Internals

Model Type 
multilingual translation
Additional Notes 
BigTranslate is built upon LLaMA-13B and optimized for multilingual translation across more than 100 languages.
Training Details 
Methodology:
Three-step optimization: continued training with massive Chinese monolingual data, continued training with a large-scale parallel dataset, and instruct-tuning with multilingual translation instructions.
LLM NameBigTranslate
Repository 🤗https://huggingface.co/James-WYang/BigTranslate 
Required VRAM26.5 GB
Updated2025-09-23
MaintainerJames-WYang
Model Typellama
Model Files  9.9 GB: 1-of-3   9.9 GB: 2-of-3   6.7 GB: 3-of-3
Model ArchitectureLLaMAForCausalLM
Licenselgpl-3.0
Model Max Length1024
Transformers Version4.21.0
Tokenizer ClassLLaMATokenizer
Vocabulary Size53613
Torch Data Typefloat16

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Rank the BigTranslate 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 v20241124
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