Unverified50% confidenceFactExact time
一个70亿参数的语言模型其权重文件约占14GB存储空间，而训练语料往往达到数TB乃至数十TB
1
Sources
50%
Confidence
Long-term
Relevance
7/12/2026
First Seen
Sources
Rust AI Agent实战：GAIA基准测试揭示大模型能力天花板
bilibili软件工艺师7/10/2026
Related Claims
Unverified对于一个典型的700亿参数模型，KV缓存每个词元大约占半兆（0.5MB）内存，生成10万个词元需要携带50GB的缓存80% similarUnverified千问3.5-9B包含约90亿个可训练参数，经4-bit量化后模型文件大小可压缩至约5-6GB79% similarUnverified运行本地大语言模型（如Llama 3、Qwen等）推荐至少32GB内存，7B参数模型经INT4量化后推理需要约4-6GB内存/显存76% similarUnverified数千亿参数模型处理128K上下文窗口时，KV Cache可能占据数十GB显存76% similarUnverified128GB的统一内存池意味着可以在本地运行700亿参数量级甚至更大的量化模型75% similar
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