COMPARISON OF OPEN SOURCE LOCAL LARGE LANGUAGE MODELS

The article provides a comparative analysis of the local large language models DeepSeek, Msitral, Qwen and LLaMA with an emphasis on their specialization, optimization methods (quantization, distillation) and performance. The key features of the models are considered: code generation, multilingualism, versatility, as well as their requirements for hardware resources. Recommendations are given on choosing solutions for various tasks, from everyday scenarios to complex calculations. The article will help users choose the optimal local large language model taking into account their technical capabilities and goals.