AIdenU/LLAMA-2-13b-koen-Y24_v1.0
AIdenU/LLAMA-2-13b-koen-Y24_v1.0 is a Llama-2-13b-based causal language model developed by AIdenU. This model is fine-tuned for Korean language processing, leveraging the foundational capabilities of the Llama 2 architecture. It is designed for applications requiring robust Korean language understanding and generation, making it suitable for various NLP tasks in Korean.
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Overview
AIdenU/LLAMA-2-13b-koen-Y24_v1.0 is a language model built upon the meta-llama/Llama-2-13b-hf base model. Developed by AIdenU, this iteration focuses on enhancing performance for Korean language tasks. It utilizes the Llama 2 architecture, known for its strong general-purpose language understanding.
Key Capabilities
- Korean Language Processing: Specifically fine-tuned to handle Korean text, enabling more accurate and contextually relevant responses in Korean.
- Causal Language Modeling: Capable of generating coherent and contextually appropriate text based on given prompts.
- Instruction Following: Demonstrates the ability to follow instructions, as indicated by the example prompt structure using
[INST]and<<SYS>>tags.
Usage
This model can be loaded and utilized with the transformers library, supporting AutoTokenizer and AutoModelForCausalLM. The provided example demonstrates how to generate text using a system prompt and a user query in Korean, showcasing its direct applicability for conversational AI or text generation in Korean. Developers can integrate this model into applications requiring Korean language understanding, such as chatbots, content generation, or translation assistance.
Top 3 parameter combinations used by Featherless users for this model. Click a tab to see each config.