建议增加 一句话在沙盒环境中//训练//微调//部署//本地中小模型的能力
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- Dominant language
- TypeScript
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Description
What would you like to be added?
完善沙盒环境，使 cli 具备 一句话在沙盒中安全训练和微调本地中小模型的能力，阿里本来就有Swift LMDeploy 等自己生态圈的大模型配套工具，既然这么大力度的推行 qwen cli， 不如把 cli 作为窗口，把自家的生态产品铺展出去，连点成链，深度调优，完整的工具链集成 + 轻量化训练微调 将推动 Qwen 成为 本地化 AI 开发的事实标准，对中小开发者极其便利和友好，尤其在 隐私敏感型行业 和 资源受限场景 中具备不可替代性和技术代差。
训练的话，除了pytorch也能加上个 百度飞桨，毕竟国产里也算是比较用心的产品，反正阿里自己也没有对标的竞品，可以做个顺水人情嘛~~~
Why is this needed?
中小开发者与初创团队 预算有限，技术有限， qwen cli 可以将大模型的相关能力再次技术平权，推动 中小团队 迅速成长，得人心者得天下，这些团队成长后，对 qwen 的信任和依赖将更深，形成不断正反馈的双赢的局面。
Additional context
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Contributor guide
First steps
- Read the whole issue, then the project's contributing guide.
- Comment on the issue to say you are picking it up — it saves two people doing the same work.
- Fork the repository and make your change on a branch.
- Open a pull request that references the issue number.
Research direction
The issue names no files, tests, or entry points and proposes a broad sandbox capability. Start by mapping the CLI and sandbox architecture, then investigate how local Qwen models, PyTorch, Swift, and related training tools could fit together. Define a narrow supported workflow and acceptance tests before implementation.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- pytorch, swift, typescript
- Domain
- ai, cli, machine-learning
- Issue type
- Feature
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 15/100