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base_model: RefalMachine/llama3_extended_darulm_20_05_24_part1-2_64000_bpe_full_lr2e4_bs256 |
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datasets: |
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- IlyaGusev/saiga_scored |
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language: |
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- ru |
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- en |
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# Model description |
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LoRa tuned version of ruadapt llama 3 8B with extended tokenizer after LEP (Learned Embedding Propagation, paper will be soon) procedure on saiga_scored d7 dataset. |
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Thanks to the extended tokenizer, the model works more efficiently with the Russian language. |
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# How to cite: |
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Tikhomirov M., Chernyshev D. Facilitating large language model Russian adaptation with Learned Embedding Propagation // 2024 (will be soon) |
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Tikhomirov M., Chernyshev D. Impact of Tokenization on LLaMa Russian Adaptation //2023 Ivannikov Ispras Open Conference (ISPRAS). – IEEE, 2023. – С. 163-168. |
