# Language model fine-tuning

A generative model fine-tuned on an unknown dataset. Specific information about the training data and usage is missing.

A large language model fine-tuned from the gemma-2-9b-it model using the Weighted Preference Optimization (WPO) method, enhancing the effectiveness of off-policy preference optimization.

A multilingual RoBERTa-style model trained on Hindi, Sanskrit, and Gujarati Wikipedia articles, supporting processing for three Indo-Aryan languages.

A Russian pre-trained language model based on the GPT-2 architecture, developed by Sberbank AI, suitable for Russian text generation tasks.

Russian text generation model based on GPT-2 architecture, developed by AI Forever team