Hugging Face Overview
Model Overview
The ytu-ce-cosmos/Turkish-Llama-8b-DPO-v0.1 is the latest and most advanced iteration of the CosmosLLaMa series, developed by the COSMOS AI Research Group at Yildiz Technical University. This 8 billion parameter model is an instruction-tuned DPO (Direct Preference Optimization) model, created by merging two distinctly trained CosmosLLaMa-Instruct DPO models. It is designed to handle text generation tasks, focusing on continuing given text snippets in a coherent and contextually relevant manner.
Key Capabilities
- Turkish Language Processing: Optimized for understanding and generating text in Turkish.
- Instruction Following: Fine-tuned to adhere to user instructions for various text generation tasks.
- Contextual Coherence: Capable of producing contextually relevant and coherent text continuations.
- DPO Training: Leverages Direct Preference Optimization for enhanced performance in instruction-following and text quality.
Good For
- Turkish Text Generation: Ideal for applications requiring the generation of natural and fluent Turkish text.
- Instruction-Based Tasks: Suitable for scenarios where the model needs to follow specific instructions to complete a task.
- Research and Development: Provides a strong base for further research in Turkish LLMs and DPO methodologies.
Users should be aware that due to the diverse nature of its training data, the model may exhibit biases, and responsible usage is encouraged. A demo of the model is available here.