RefalMachine
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README.md
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---
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base_model: RefalMachine/mistral_extended_darulm_20_05_24_part1-2_32000_bpe_full_lr1e4_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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---
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# Model description
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LoRa tuned version of ruadapt mistral 7B v0.1 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.
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