A team has successfully fine-tuned the Qwen3-4B-Instruct-2507 large language model to communicate in the Karachay-Balkar language. This involved developing a custom morphological processor for dialect augmentation, training a tokenizer from scratch, and balancing the model's training on raw data to retain instruction-following capabilities. The resulting model, named QM-4B, is available on HuggingFace and was presented at the TurkLang 2026 conference. AI
IMPACT Enables AI capabilities for low-resource languages, potentially preserving linguistic diversity.
RANK_REASON Fine-tuning of a specific LLM for a low-resource language. [lever_c_demoted from research: ic=1 ai=1.0]
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