Beginner score
48/100
Competition workspace
适合已经做过大语言模型指令微调、能在华为昇腾环境中使用MindSpeed-LLM的开发者或研究团队。参赛者还需要能准备合规的开源指令数据，并交付可运行代码、训练日志和微调后的模型文件。
Suggested next step
Decide whether this contest fits your current stage before you sink time into the leaderboard.
Beginner score
48/100
Learning value
60/100
Estimated effort
12-40 hours
Metric
Official scoring is published on the Op…
适合已经做过大语言模型指令微调、能在华为昇腾环境中使用MindSpeed-LLM的开发者或研究团队。参赛者还需要能准备合规的开源指令数据，并交付可运行代码、训练日志和微调后的模型文件。
If the items below still feel unfamiliar, you usually get a better result by preparing first instead of rushing in.
MindSpeed-LLM
昇腾芯片训练环境
Llama2-7B全参数微调
分布式并行策略
指令数据集构建
MMLU评估
The real friction is usually not library usage. It is validation, time allocation, and task framing.
难点在于同时优化全参SFT的训练吞吐和模型效果：既要通过并行策略、算子或算法优化提高样本处理速度，又要兼顾MMLU与多轮对话表现。提交不仅是结果，还需提供数据集链接、完整流程文档、可跑通代码、日志和模型检查点，并保证作品可脱离原开发环境运行。
This guide is the best pre-read if you want a cleaner start instead of trial-and-error.
How to learn feature engineering, validation, and competition workflow without heavy hardware.
No GPU? Pick Competitions That Still Teach You Good HabitsUse these fields to make a quick decision before you dive deeper.
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Rules, files, submission details, and the live deadline still come from the official page.
These competitions share a similar domain or difficulty level.
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Official metric is not published on the OpenAtom competition listing; verify scoring on the competition page.
reward_value_usd is a rough CNY→USD estimate (×0.14) for ranking only; use reward_summary for the official prize text.