English(EN) I'm 16 and spent a year training my own 780B language model. Here's what I learned

16岁少年训练780B参数LLM Ganymede 1.1，采用MoE架构

作者 PulseAugur 编辑部 · [1 个来源] · 2026-10-21 23:07

一位名叫Afonso的16岁开发者详细介绍了耗时一年训练自己的7800亿参数语言模型Ganymede 1.1的过程。他强调，使用混合专家（MoE）架构对于管理计算限制至关重要，而数据清理比训练本身更耗时。Afonso还强调了从一开始就在模型中构建安全功能的重要性，并指出跨多个数据中心进行分布式训练对于获取必要的GPU资源至关重要。Ganymede 1.1模型拥有100万token的上下文窗口并支持工具调用，目前可通过聊天和兼容OpenAI的API免费使用。 AI

影响展示了个人开发者训练大规模模型的可行性，可能降低了高级AI开发的门槛。

排序理由该条目描述了个人开发和发布一个大型语言模型，详细介绍了技术过程和学习经验，属于人工智能的研究与开发范畴。[lever_c_demoted from research: ic=1 ai=1.0]

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dev.to — LLM tag TIER_1 English(EN) · Afonso Faro · 2026-10-21 23:07

I'm 16 and spent a year training my own 780B language model. Here's what I learned

<p>Hi, I'm Afonso. I'm 16, and for about the past year I've been building Ganymede, my own large language model, mostly on my own under a small lab I started called Merkium.</p> <p>Most write-ups about training LLMs come from big labs with huge teams. I wanted to share what it ac…

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I'm 16 and spent a year training my own 780B language model. Here's what I learned

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