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ModelScopeLLMBeginnerRegistration closed

「我的云端AI工作站」开发者技术征文

A beginner llm competition requiring roughly 4–12 hours for an end-to-end practice run.

Difficulty
Beginner
Estimated effort
4–12 hours
Registration deadline
Sep 19, 2026
Compute
Free GPU OK
OverviewPreparationSource

Overview

Who this competition fits

适合已经实际使用无影云电脑个人版搭建或运行过 AI 工作流、开发环境、开源项目或性能测评的开发者。投稿者需要能把真实实践整理成可复现的教程,并在魔搭社区发布技术帖;若申请秒悟联动加成,还需能在秒悟搭建本人可访问的应用。

Read the original official blurb
「我的云端AI工作站」开发者技术征文晒出你的云端 AI 工作站,最高赢 10000 灵豆(无影云电脑使用时长)!8 月 17 日-9月19日,魔搭社区开发者晒出无影云电脑个人版的真实玩法:AI 出图工作流、云端开发环境、开源项目实战、性能测评,四大方向任选。500-2000 字技术帖 + 配图 + 可复用配置即可投稿;用秒悟搭建应用还能额外叠加秒悟积分。Top 10 发奖,一等奖最高 10000 灵豆 + 2000 魔粒,优质稿件收录官方案例库。每人限投 2 篇,须真实原创。 Official category: devEvent. Participants: 0. Organizers: 无影云电脑.

Preparation

From registration to a first submission

  1. 01

    无影云电脑使用

  2. 02

    技术写作与配图

  3. 03

    命令、脚本或配置编写

  4. 04

    性能测试与数据对比

  5. 05

    魔搭社区发帖

Before you commit: 核心难点不是完成一个固定模型任务,而是拿出基于无影个人版真实使用的、可验证且有技术深度的案例:正文必须配图,并提供可复用教程、配置或代码,同时至少展示脚本/配置、踩坑解决、量化数据或架构流程中的一项。评分还看复现性、内容完整度和社区浏览量,因而需要兼顾工程实践与公开表达。

Source

How this page was assembled

Competition information is structured from the official page. Scores are platform estimates for decision support; official rules take precedence.

Official competition page
ModelScope
Registration
Open signup form
Last checked
Aug 18, 2026

Entry assessment

est.
78

Worth shortlisting

Overall fit estimate

Beginner fit78/100
Learning value72/100

Confirm eligibility and time commitment before moving into formal preparation.

Entry eligibility needs official confirmation

Open official pageSign in to saveOpen guide

Timeline

Registration opens
Aug 16, 2026
Registration deadline
Sep 19, 2026

Data and review state

Separate what is confirmed from what still needs review. Official rules and deadlines win.

View data stateClose
Source page verifiedMetric confirmedReviewed
Source published
Aug 18, 2026
Published on this site
Sep 23, 2026

Official metric is not published on the ModelScope competition listing; verify scoring on the competition page.