Unverified50% confidenceFactExact time
Small language models typically have parameter counts ranging from hundreds of millions to tens of billions, such as Microsoft's Phi-3 (3.8B), Google's Gemma 2B, and Meta's Llama 3.2 (1B/3B).
1
Sources
50%
Confidence
Medium-term (~90 days)
Relevance
9/1/2026
First Seen
Valid until: 11/30/2026
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Related Claims
Unverified小语言模型（SLM）通常指参数量在数亿到数十亿级别的模型，代表包括Microsoft的Phi系列和Google的Gemma系列69% similarUnverifiedGoogle announced that the cumulative download count of its open-source large language model series Gemma has surpassed 1 billion.67% similarUnverifiedMicrosoft的Phi系列和Google的Gemma系列是小语言模型的代表性工作67% similarUnverified大语言模型随参数规模增长突然涌现出思维链推理能力，由Google的涌现能力论文系统记录63% similarUnverifiedGoogle推出了Gemma 2B小语言模型62% similar
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