Building Hierarchos: What We Learned From Training a 232M Recurrent Memory-Augmented Assistant…
中文摘要
一份关于训练2.32亿参数非Transformer语言模型Hierarchos的报告。该模型结合层级与循环记忆，训练中遭遇大量调试挑战，分享实践经验。
English Summary
A report on training Hierarchos, a 232M non-Transformer language model. It features hierarchy, recurrent memory, and required extensive debugging, offering insights into practical challenges.
Original Excerpt
A practical field report from building a non-Transformer language model with hierarchy, memory, recurrent state, and more debugging than… Continue reading on Medium »