chihoonlee10/T3Q-ko-solar-sft-dpo-v1.0
The chihoonlee10/T3Q-ko-solar-sft-dpo-v1.0 is a 10.7 billion parameter language model with a 4096 token context length. This model is a fine-tuned version, likely based on the SOLAR architecture, and is optimized for specific tasks through Supervised Fine-Tuning (SFT) and Direct Preference Optimization (DPO). Its primary application is expected to be in Korean language processing, given the 'ko' identifier in its name, making it suitable for tasks requiring nuanced understanding and generation in Korean.
Loading preview...
Overview
This model, chihoonlee10/T3Q-ko-solar-sft-dpo-v1.0, is a 10.7 billion parameter language model with a context length of 4096 tokens. It has been fine-tuned using both Supervised Fine-Tuning (SFT) and Direct Preference Optimization (DPO) techniques, suggesting an emphasis on aligning its outputs with human preferences and specific task objectives. The 'ko' in its name indicates a specialization in the Korean language.
Key Characteristics
- Parameter Count: 10.7 billion parameters.
- Context Length: Supports up to 4096 tokens.
- Fine-tuning: Utilizes Supervised Fine-Tuning (SFT) and Direct Preference Optimization (DPO) for enhanced performance and alignment.
- Language Focus: Optimized for Korean language tasks.
Good For
- Applications requiring a robust Korean language model.
- Tasks benefiting from models fine-tuned with DPO for preference alignment.
- Research and development in Korean NLP, particularly for generative or conversational AI.
Top 3 parameter combinations used by Featherless users for this model. Click a tab to see each config.