vllm-project/vllm-ascend

[Contribution] 任务 #27：【社区模型】适配Llama-3.2-3B-Instruct

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#10,674 opened on Jun 18, 2026

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Description

在提交新问题之前，请确保您已经在社区中搜索过相关问题，并使用了社区中提供的资源/工具后，仍未找到满意的解决方式。

📚 任务问题描述

任务描述

该任务拆分自 #9079，任务 ID：#27。

适配社区模型 Llama-3.2-3B-Instruct，补充对应用例和模型适配使用文档，并最终上库。

验收标准

  1. 在 tests/e2e/models/configs 添加完整测试用例。
  2. 在 docs/source/tutorials/models 创建模型适配教程文档。
  3. 在对应issue下提交 SKILL.md（记录AI辅助开发经验、有效提示词及最佳实践）。

对接人

@jyoung6652

认领状态

待认领

建议的替代/修复方案

请根据任务描述提交实现、测试或文档 PR，并在 PR 中关联本 issue 与 #9079；如实现过程中发现任务边界、使用指导或现有行为存在不合理之处，请同步补充说明和最小复现。

欢迎加入社区，感谢您对社区的贡献 🎉!

Contributor guide

Research direction
Study existing model adapters in vllm ascend to understand the pattern, then follow the acceptance criteria to add tests in tests/e2e/models/configs, create documentation in docs/source/tutorials/models, and submit a SKILL.md with AI assisted development experience.
Tech stack
python
Domain
backendmachine learningai
Issue type
Feature
DifficultyEstimated implementation difficulty for a new contributor, from 1 for very small changes to 5 for expert-level work.
3
Estimated timeA rough time range for an experienced contributor to investigate, implement, test, and prepare a pull request.
1-2 days
Activity statusHow available the issue appears right now: fresh, active, stale, blocked, or waiting on maintainer input.
Active
ClarityHow clearly the issue explains the expected change, acceptance criteria, and next step.
Clear
Prerequisites
PythonGit
Newbie friendlinessA 1-100 score estimating how approachable this issue is for first-time contributors.
60