Overview

ekdms917/like_daeun is a 4.3 billion parameter instruction-tuned language model, building upon the Google Gemma-3-4b-it architecture. Developed by ekdms917, this model is primarily focused on Korean language processing, having been fine-tuned using the dedicated ekdms917/like_917 dataset. It supports a substantial context length of 32768 tokens, enabling it to handle longer inputs and generate more coherent and extended responses.

Key Capabilities

• Korean Language Specialization: Fine-tuned on a Korean-specific dataset, suggesting strong performance in Korean text generation and understanding.
• Instruction Following: As an instruction-tuned model, it is designed to follow user prompts and generate relevant outputs.
• Extended Context Window: A 32768-token context length allows for processing and generating longer texts, maintaining context over extended conversations or documents.

Good For

• Korean Text Generation: Ideal for applications requiring the creation of Korean content, such as articles, summaries, or creative writing.
• Korean Conversational AI: Suitable for chatbots or virtual assistants that interact in Korean, leveraging its instruction-following capabilities.
• Research and Development: Provides a base for further fine-tuning or experimentation with Korean language models, particularly those derived from the Gemma family.