Ruadaptqwen2.5 32B Pro Beta
R
Ruadaptqwen2.5 32B Pro Beta
Developed by RefalMachine
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.
Downloads 2,913
Release Time : 1/19/2025
Model Overview
This model is a Russian adaptation version of the T-pro-it-1.0 model. By replacing the tokenizer and continuing pre-training on the Russian corpus, the generation speed of Russian text has been significantly improved.
Model Features
Language adaptation
Adapted the T-pro-it-1.0 model to Russian, replaced the tokenizer, and continued pre-training on the Russian corpus.
Improved generation speed
Using a new tokenizer (tiktoken cl100k extended by a single-character tokenizer with 48,000 tokens), the generation speed of Russian text is 60% faster than the original T-pro-it-1.0 model.
Application of LEP technology
Applied LEP (Learned Embedding Propagation) technology to optimize model performance.
Model Capabilities
Russian text generation
Natural language processing
Language model adaptation
Use Cases
Russian natural language processing
Russian text generation
Used to generate high-quality Russian text content
The generation speed is 60% faster than the original model
Russian NLP applications
Supports various Russian natural language processing tasks
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