Unverified50% confidenceReleaseExact time
项目在Releases中上传了预编译的Windows执行二进制文件和轻量级训练模型权重(3MB和4MB)
1
Sources
50%
Confidence
Medium-term (~90 days)
Relevance
8/24/2026
First Seen
Valid until: 11/22/2026
Sources
Related Entities
Related Claims
Unverified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5-6GB71% similarUnverified跑桌面系统或多标签浏览器/轻度Docker多容器场景,内存至少选4GB版本;纯做传感器采集、GPIO控制、单一服务的Headless项目,2GB足够,1GB版本已不建议新项目使用63% similarUnverified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61% similarUnverified配合YaRN、Dynamic NTK等插值技术,可以将训练长度4K的模型扩展到128K甚至1M的上下文窗口61% similarUnverifiedUnsloth 通过 4-bit/8-bit 量化感知训练与动态激活卸载技术,可将 7B 模型的微调显存需求压缩至约 4–6 GB61% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/795575API
curl https://kongchang.com/api/v1/knowledge/claims/795575MCP
get_claim(id=795575)