refarde/Mistral-7B-Instruct-v0.2-Ko-S-Core
refarde/Mistral-7B-Instruct-v0.2-Ko-S-Core is a 7 billion parameter instruction-tuned causal language model based on Mistral-7B-Instruct-v0.2. This model is specifically fine-tuned for Korean language tasks, leveraging the ko-alpaca dataset. It offers a context length of 8192 tokens, making it suitable for applications requiring Korean language understanding and generation.
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Overview
refarde/Mistral-7B-Instruct-v0.2-Ko-S-Core is an instruction-tuned language model built upon the robust Mistral-7B-Instruct-v0.2 architecture. With 7 billion parameters and an 8192-token context window, this model is designed for efficient performance.
Key Capabilities
- Korean Language Proficiency: Specifically fine-tuned using the
royboy0416/ko-alpacadataset, enhancing its ability to understand and generate text in Korean. - Instruction Following: Inherits strong instruction-following capabilities from its base model, making it effective for various prompt-based tasks.
Good For
- Korean NLP Applications: Ideal for tasks such as text generation, summarization, translation, and question-answering in Korean.
- Research and Development: Provides a solid foundation for further fine-tuning or experimentation with Korean language models.
Top 3 parameter combinations used by Featherless users for this model. Click a tab to see each config.