# Wikipedia-trained

A Turkish large language model based on the GPT-2 architecture, designed specifically for Turkish text generation tasks

This is a small LLaMA-like language model with 68 million parameters, primarily used for speculative inference research in the SpecInfer paper.

This is a distilled version of distilbert-base-multilingual-cased, specifically optimized for English and Dutch while maintaining the original model's accuracy.

This is a Ukrainian-customized version of bert-base-multilingual-cased, supporting Ukrainian text processing while maintaining the original model's accuracy.

This is a customized streamlined version of bert-base-multilingual-cased, optimized specifically for Spanish, maintaining original accuracy while reducing resource consumption.

This is a lightweight version of distilbert-base-multilingual-cased, specifically optimized for English and Norwegian, reducing model size while maintaining original accuracy.

This is a customized lightweight version of distilbert-base-multilingual-cased, specifically optimized for Italian while maintaining the original accuracy.

This is a customized compact version of bert-base-multilingual-cased, specifically optimized for Turkish, capable of fully replicating the original model's representation output while ensuring no loss of original precision.

This is a customized streamlined version of bert-base-multilingual-cased, specifically optimized for Russian language processing while preserving the original model's representational capabilities.

This is a distilled version of distilbert-base-multilingual-cased, specifically supporting English and Urdu while maintaining the original model's representation capabilities.

This is a customized lightweight version of bert-base-multilingual-cased, optimized specifically for Thai language processing while maintaining the original model's accuracy.

This is a customized distilled version of the distilbert-base-multilingual-cased model, specifically optimized for Arabic while maintaining the original model's representation capabilities and accuracy.

This is a customized compact version of distilbert-base-multilingual-cased, specifically optimized for Polish while retaining the original model's accuracy.

This is a customized and streamlined version of bert-base-multilingual-cased, focusing on five languages: English, French, German, Norwegian, and Danish, while maintaining the original model's representation accuracy.

This is a smaller version of bert-base-multilingual-cased, supporting 15 languages while preserving the original model's accuracy.

A compact multilingual BERT version trained on Wikipedia datasets, specifically optimized for German while maintaining the original model's representation output and accuracy.

This is a distilled version of distilbert-base-multilingual-cased, supporting English, French and Arabic processing while maintaining the original model's representation accuracy.

This is a customized and compact version of distilbert-base-multilingual-cased for Romanian, fully replicating the original model's representational capabilities with maintained accuracy.

This is a customized compact version of bert-base-multilingual-cased, specifically designed for English and Danish, retaining the original model's representational capabilities.

This is a customized lightweight version of bert-base-multilingual-cased, specifically designed for Urdu language processing while maintaining the original model's accuracy.

A customized Vietnamese lite version of the BERT model based on bert-base-multilingual-cased, supporting case-sensitive processing and fully reproducing the original model's representation output.

This is a lightweight version of distilbert-base-multilingual-cased, supporting English and Hindi while retaining the original model's semantic representation capabilities.

This is a customized lightweight version of bert-base-multilingual-cased, specifically optimized for Greek language processing while maintaining the original model's accuracy.

This is a compact version of distilbert-base-multilingual-cased, specifically optimized for English and Bulgarian, while maintaining the original model's accuracy.

A customized distilled version of distilbert-base-multilingual-cased, specifically optimized for Spanish language processing

This is a customized compact version of distilbert-base-multilingual-cased, specifically optimized for Danish while maintaining the original model's representation accuracy.