A 27B AI Model in a 6GB File? The Real Story Behind Ternary Bonsai
中文摘要
模型大小虽大幅缩小，但内存占用和AI代理的可靠性仍是挑战。
English Summary
Smaller AI models are possible, but memory and agent reliability remain challenges.
原文节选
Ternary weights can shrink a 27B-class model dramatically — but the real bottleneck may move from VRAM to context and agent reliability. Continue reading on Medium »