Create README.md

README.md

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+---
+datasets:
+- IlyaGusev/saiga_scored
+- IlyaGusev/saiga_preferences
+- dichspace/darulm
+language:
+- ru
+pipeline_tag: text-generation
+base_model:
+- RefalMachine/ruadapt_qwen2.5_3B_ext_u48_full_lr5e4_peft_mlp_32_32_bs256
+---
+
+# Model description
+
+Instruction-tuned version of RefalMachine/ruadapt_qwen2.5_3B_ext_u48_full_lr5e4_peft_mlp_32_32_bs256 with extended tokenizer after LEP (Learned Embedding Propagation, paper will be soon) procedure.
+
+Thanks to the extended tokenizer, the model works more efficiently with the Russian language (up to 60% speed up compared to Qwen-2.5-3B-Instruct in terms of characters)
+
+# How to cite:
+
+Tikhomirov M., Chernyshev D. Facilitating large language model Russian adaptation with Learned Embedding Propagation // 2024 (will be soon)
+
+Tikhomirov M., Chernyshev D. Impact of Tokenization on LLaMa Russian Adaptation //2023 Ivannikov Ispras Open Conference (ISPRAS). – IEEE, 2023. – С. 163-168.