Unverified85% confidenceFactTime unknown
使用INT4量化技术可以将20B模型体积从约40GB缩小到约10GB
1
Sources
85%
Confidence
Long-term
Relevance
6/1/2026
First Seen
Sources
GPT-OSS本地部署教程：Ollama一键运行OpenAI开源模型
bilibili科技发现
Related Entities
Related Claims
Unverified采用INT4量化可将700亿参数模型显存需求压缩至约40GB（2张A100），但会带来约3-5%的性能损耗78% similarVerified4-bit量化将每个参数压缩至0.5字节，理论上将140GB压缩至约35-40GB77% similarUnverified量化可将700亿参数模型的存储体积从FP16的约140GB压缩至INT4的约35-40GB，能在单张RTX 4090配合CPU内存卸载的消费级硬件上运行75% similarVerified4-bit量化理论上可将模型体积缩小8倍（相比32位存储）75% similarUnverified量化格式可将70B参数模型的运行内存从140GB压缩至40GB以内74% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/23273API
curl https://kongchang.com/api/v1/knowledge/claims/23273MCP
get_claim(id=23273)