# LEP technology
Ruadaptqwen2.5 7B Lite Beta GGUF
Apache-2.0
An improved version adapted to Russian based on the T-lite-it-1.0 model. The Russian text generation speed is improved by replacing the tokenizer and continuing pre-training.
Large Language Model Other
R
RefalMachine
311
7
Ruadaptqwen2.5 7B Lite Beta
Apache-2.0
This project adapts the T-lite-it-1.0 model to Russian. By replacing the tokenizer, continuing pre-training on the Russian corpus, and applying LEP technology, the generation speed of Russian text is improved.
Large Language Model
Safetensors
R
RefalMachine
1,603
8
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
R
RefalMachine
2,913
10
Ruadaptqwen2.5 32B Instruct
Apache-2.0
This is an instruction - type version that adapts the Qwen2.5 - 32B model to Russian. By replacing the tokenizer and applying LEP technology, the generation speed of Russian text is significantly improved.
Large Language Model
Safetensors
R
msu-rcc-lair
1,502
46
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