nayohan/llama3-instrucTrans-enko-8b
The nayohan/llama3-instrucTrans-enko-8b is an 8 billion parameter instruction-tuned causal language model based on Llama-3-8B-it, developed by nayohan. This model is specifically fine-tuned for English to Korean translation tasks, leveraging custom translation datasets. It demonstrates strong performance in various English-Korean translation benchmarks, making it suitable for applications requiring accurate cross-lingual communication.
Loading preview...
Model Overview
The nayohan/llama3-instrucTrans-enko-8b is an 8 billion parameter model built upon the Llama-3-8B-it architecture, specifically optimized for English to Korean translation. It was fine-tuned using specialized datasets, including nayohan/aihub-en-ko-translation-1.2m and nayohan/translate_corpus_313k, to enhance its performance in this specific domain.
Key Capabilities
- High-Quality English-Korean Translation: Excels at translating English text into Korean, as demonstrated by its leading performance across multiple benchmarks.
- Instruction-Following: Designed to follow translation instructions effectively, making it suitable for direct application in translation pipelines.
- Competitive Benchmarking: Achieves the highest average score (16.13) across Aihub, Flores, iwslt, and ko_news_eval40 English-Korean translation datasets, outperforming other models like EEVE-10.8b-it, KULLM3, and nhndq-nllb in several categories.
Good For
- Automated Translation Systems: Ideal for integrating into applications requiring robust English to Korean translation capabilities.
- Research and Development: Useful for researchers exploring fine-tuning techniques for low-resource language pairs or specific translation tasks.
- Content Localization: Can be employed for localizing English content into Korean with high fidelity.
Top 3 parameter combinations used by Featherless users for this model. Click a tab to see each config.