Ruadaptqwen2.5 32B Pro Beta
Apache-2.0
This project is the result of adapting the model to Russian. By replacing the tokenizer, continuing pre-training on the Russian corpus, and applying LEP technology, the generation speed of Russian text has been improved, providing a new solution for Russian natural language processing.
Large Language Model
Safetensors