# Turkish language optimization

Bert2DModel is a brand-new exploration of the classic BERT architecture, designed specifically for languages with complex lexical structures like Turkish.

Ablated version of LLaMA-3-8B-Instruct, using specific techniques to force the model to respond in Turkish

A Turkish language retrieval model fine-tuned based on the intfloat/multilingual-e5-large-instruct model, focusing on Turkish paragraph retrieval tasks.

Fikri is a language model specifically tailored for Turkish language tasks, based on the Llama 3.1 architecture with 8 billion parameters.

A fine-tuned version of the Llama3.1 8B large language model optimized for Turkish, trained on high-quality Turkish instruction datasets

A fine-tuned version of the Llama3 8b large language model optimized for Turkish, trained on high-quality Turkish instruction datasets

SambaLingo-Turkish-Base is a bilingual (Turkish and English) model based on Llama-2-7b pre-training, adapted for Turkish by training on 42 billion tokens from the Turkish portion of the Cultura-X dataset.