Unverified50% confidenceFactExact time
Such micro LLMs typically have parameter scales ranging from 1B to 7B, and can perform local inference of tens of tokens per second on mobile or wearable chips.
1
Sources
50%
Confidence
Medium-term (~90 days)
Relevance
9/24/2026
First Seen
Valid until: 12/23/2026
Sources
Related Entities
Related Claims
VerifiedFine-tuning a 7B-parameter model with full-parameter fine-tuning may require tens of gigabytes of VRAM.74% similarUnverified在手机上运行一个3B参数的LLM仍面临约6GB内存占用和数百毫秒的首token延迟71% similarUnverified7B参数的量化模型在16GB内存的普通电脑上即可流畅对话69% similarUnverifiedSmall language models (SLMs) typically have parameter counts within a few billion, aiming to run locally on devices such as phones and laptops.68% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/948153API
curl https://kongchang.com/api/v1/knowledge/claims/948153MCP
get_claim(id=948153)