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训练和部署百亿级大模型，从硬件选型到故障恢复全链路落地

ml-engineering

ml-engineering 是 SkillFeeder 收录的Agent Skill，来自 GitHub 仓库 stas00/ml-engineering。训练和部署百亿级大模型，从硬件选型到故障恢复全链路落地。适合大模型训练工程师。场景是工程开发 · 云与部署。能做的事包括选配GPU/网络/存储并实测吞吐、用SLURM/K8s稳定调度千卡训练、诊断NaN、崩溃与硬件故障并自动恢复。打开 GitHub 自行安装。

打开 GitHub

仓库
stas00/ml-engineering
场景
工程开发 · 云与部署
适合
大模型训练工程师
类型
Skill

能做什么

原文简介

Field-tested methodology and concrete recipes for training and operating large-scale LLM/VLM/multi-modal models end to end - choosing and benchmarking accelerators, storage and network; SLURM/Kubernetes orchestration; maximizing training throughput and fitting models in memory; diagnosing and surviving training instabilities, NaN/Inf, and hardware/job failures; checkpointing and fault tolerance; i

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