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OpenAtomLLMIntermediateRegistration unverified

代码大模型训练赛

A intermediate llm competition requiring roughly 12–40 hours for an end-to-end practice run.

Difficulty
Intermediate
Estimated effort
12–40 hours
Registration deadline
To be confirmed
Compute
CPU only
OverviewPreparationSource

Overview

Who this competition fits

适合已有大语言模型微调和代码数据处理经验的学生、工程师或个人开发者团队。参赛者需要能够围绕代码补全准备训练数据、训练 CodeLlama-7B,并提交可复现的数据处理脚本、数据集和源代码材料。

Read the original official blurb
通过本次大赛进一步优化代码大模型训练方法,提升大模型在软件开发相关场景上的代码生成能力,探索更多的应用场景。 Official category: 实战竞技赛. Organizers: 中移(苏州)软件技术有限公司. Participants: 6.

Preparation

From registration to a first submission

  1. 01

    CodeLlama-7B 微调

  2. 02

    代码补全数据构建

  3. 03

    训练数据清洗与处理

  4. 04

    Python 与深度学习训练脚本

  5. 05

    JSON 结果文件生成

  6. 06

    模型训练可复现文档编写

Before you commit: 核心难点是自行根据少量样例准备并优化代码补全训练数据,同时让微调效果可复现;仅提交预测结果不够,还需交付数据处理脚本、受限规模的数据集、原理说明和模型优化文档。初赛还要求将生成结果转换为指定格式的 JSON 文件,并可能被随机抽测复现。

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
OpenAtom
Last checked
Sep 23, 2024

Entry assessment

est.
48

Prepare before joining

Overall fit estimate

Beginner fit48/100
Learning value60/100

Confirm eligibility and time commitment before moving into formal preparation.

Entry eligibility needs official confirmation

Open official pageSign in to saveOpen guide

Data and review state

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

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Source page verifiedMetric confirmedReviewed
Source published
Sep 23, 2024
Source created
Sep 23, 2024
Published on this site
Jul 21, 2026

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.