Unverified50% confidenceFactExact time
Large language models that can run on-device typically have parameter scales of 1B to 13B, far smaller than cloud-based models such as GPT-4 or Claude with hundreds of billions of parameters.
1
Sources
50%
Confidence
Medium-term (~90 days)
Relevance
9/6/2026
First Seen
Valid until: 12/5/2026
Sources
Related Entities
Related Claims
Unverified对于7B至13B参数级别的模型，4-bit量化后的输出质量与全精度版本差异很小70% similarUnverified4B表示模型参数量为40亿，属于小型语言模型（SLM）范畴70% similarUnverified万象模型提供了 1.3B 和 14B 参数量的不同规模版本69% similarUnverifiedSmall VLMs such as LLaVA-7B and Qwen-VL-Chat typically have parameter counts in the billions, while object detection models typically range from tens of millions to hundreds of millions of parameters.69% similarUnverified本地可运行的模型如 Llama 3 8B、Qwen2 7B 参数仅为顶级云端模型的约百分之一68% similar
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