How to Pick a Local Model in 2026: Five Rules, and Benchmarks Aren’t One
中文摘要
2026年选择本地模型需遵循五条规则，不能仅依赖基准测试。测试表明，专业模型在执行通用任务时也可能失败。
English Summary
Choosing local models in 2026 requires five rules beyond benchmarks. Tests show specialized models can fail general tasks, proving benchmarks alone are insufficient.
原文节选
Seven models got the same small task. The one built for coding never touched the file. Continue reading on Towards AI »