27B quantized large language model, coding performance comparable to top AI

Picture/schematic diagram Shang Media | Editor in charge/comprehensive foreign news reports According to the technology media "Wccftech", a 27 billion parameter large-scale language model (LLM, an AI model trained based on huge amounts of data, which can understand and generate human language) that has been processed by 4-bit (4-bit) quantification, Qwen3.8-27B, performed well in a specific coding benchmark (coding benchmark, used to evaluate AI) In the standardized test of model programming ability) task, it has demonstrated excellent performance that is comparable to or even surpasses the top cloud AI models. This relatively small model passed 98% of a single task on the DeepSWE coding benchmark and achieved a perfect score of 12 on the code review task. The report pointed out that even the top players in the industry...