CarrotAI/Rabbit3-Ko-4B
CarrotAI/Rabbit3-Ko-4B is a 4 billion parameter instruction-tuned large language model developed by CarrotAI, based on Qwen/Qwen3-4B. Fine-tuned using both Korean and English datasets, it is optimized for bilingual performance, particularly excelling in Korean language tasks. This model is designed for general instruction-following applications, demonstrating strong capabilities in mathematical reasoning and common sense understanding.
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CarrotAI/Rabbit3-Ko-4B Overview
CarrotAI/Rabbit3-Ko-4B is a 4 billion parameter instruction-tuned large language model developed by CarrotAI. Built upon the Qwen/Qwen3-4B base model, it has been extensively fine-tuned using a combination of Korean and English datasets, making it a strong performer in bilingual contexts, with a particular focus on Korean language processing.
Key Capabilities
- Bilingual Proficiency: Optimized for both Korean and English, enabling effective communication and instruction following in both languages.
- Instruction Following: Designed to accurately interpret and execute user instructions across various tasks.
- Mathematical Reasoning: Achieves a
gsm8kscore of 0.8400 (5-shot exact match) andhrm8k_mathscore of 0.5539, indicating solid performance in mathematical problem-solving. - Common Sense & General Knowledge: Demonstrates capabilities in general knowledge benchmarks like
kmmlu_direct(0.5212) andkobest(0.7768 accuracy).
Good For
- Applications requiring robust Korean language understanding and generation.
- Instruction-following tasks in bilingual (Korean/English) environments.
- Use cases involving mathematical reasoning and general knowledge queries.
This model is intended for general use and can be deployed using frameworks like sglang or vllm for OpenAI-compatible API endpoints.