Hugging Face Overview
Model Overview
The ifuseok/sft-solar-10.7b-v1.1 is a 10.7 billion parameter language model built upon the upstage/SOLAR-10.7B-Instruct-v1.0 base architecture. This model has undergone supervised fine-tuning (SFT) using a collection of Korean-centric instruction datasets, enhancing its ability to understand and generate responses in Korean.
Key Capabilities
- Korean Instruction Following: Specialized training on datasets like
nlpai-lab/databricks-dolly-15k-ko,kyujinpy/KOR-OpenOrca-Platypus-v3, andheegyu/open-korean-instructionsenables robust performance in following Korean instructions. - Korean Language Understanding: Incorporates datasets such as
KETI-AIR/kor_boolqand AIhub Korean-English translation data, improving its comprehension of Korean linguistic nuances. - Text Generation: Capable of generating coherent and contextually relevant text based on given prompts.
Training Details
The model was fine-tuned using a variety of publicly available Korean datasets, focusing on instruction-response pairs and general Korean language tasks. This targeted training aims to optimize its performance for applications requiring strong Korean language capabilities.
Good For
- Applications requiring a strong Korean instruction-following model.
- Korean-centric chatbots and conversational AI systems.
- Tasks involving Korean text generation, summarization, or question answering.