Taigi Llama 2 Translator 7B by Bohanlu

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  Arxiv:2403.12024   Autotrain compatible   Endpoints compatible   Llama   Region:us   Safetensors   Sharded   Tensorflow

Taigi Llama 2 Translator 7B Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Taigi Llama 2 Translator 7B (Bohanlu/Taigi-Llama-2-Translator-7B)

Taigi Llama 2 Translator 7B Parameters and Internals

Model Type 
Translation
Use Cases 
Areas:
Research, Commercial Applications
Applications:
Translation Services
Primary Use Cases:
Translating between Taiwanese Hokkien and Traditional Chinese or English, Translation between different scripts of Taiwanese Hokkien
Limitations:
Uncertainty in translations not covered by parallel data
Supported Languages 
Taiwanese Hokkien (Hanzi, POJ, Hanlo) (High proficiency), Traditional Chinese (High proficiency), English (High proficiency)
Training Details 
Data Sources:
263k parallel data
Methodology:
Fine-tuning of the Taigi-Llama-2 series model
Input Output 
Input Format:
Text in source language
Output Format:
Text in target language
Performance Tips:
Ensure newline at the end of prompts
LLM NameTaigi Llama 2 Translator 7B
Repository ๐Ÿค—https://huggingface.co/Bohanlu/Taigi-Llama-2-Translator-7B 
Model Size7b
Required VRAM13.9 GB
Updated2025-01-23
MaintainerBohanlu
Model Typellama
Model Files  5.0 GB: 1-of-3   4.9 GB: 2-of-3   4.0 GB: 3-of-3
Model ArchitectureLlamaForCausalLM
Licensecc-by-nc-sa-4.0
Context Length4096
Model Max Length4096
Transformers Version4.37.2
Tokenizer ClassLlamaTokenizer
Padding Token<pad>
Vocabulary Size56024
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than Bohanlu/Taigi-Llama-2-Translator-7B.

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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227