小语言模型Small Language Model (SLM)

1B–8B 参数级的小个子：便宜、快、能本地跑，能力未必弱。The 1B–8B parameter class: cheap, fast, runnable locally — and not necessarily weak.

小语言模型通常指约 1B–8B 参数级的模型，面向消费级硬件和边缘设备。

一篇覆盖约 160 篇研究的综述结论：这个参数段的模型可以追平甚至超过大模型。

它的优势在成本、延迟与本地部署，不是能力上限。

Small language models usually mean roughly 1B–8B parameters, aimed at consumer hardware and edge devices.

A survey of about 160 papers concludes models in this range can match or even outperform large models.

Their advantages are cost, latency, and local deployment — not capability ceilings.

不是所有任务都需要旗舰大模型。知道小模型的存在和边界，才知道什么时候该用便宜的。Not every task needs a flagship model. Knowing small models exist and where their limits are tells you when the cheap option is the right one.

去 Models 图谱：看这个模型有哪些量化版、按你的显存该下哪一档Models atlas: which quantisations exist and which tier fits your VRAM ↗

回到名词地图看第1站的其他 34 个词 →Back to the map: the other 34 terms in station 1 →

• 《Small Language Models (SLMs) Can Still Pack a Punch: A Survey》（综述，约 160 篇文献）Small Language Models Can Still Pack a Punch: A Survey ↗