Fix package loss for small models (#2717)

Co-authored-by: sdli1995 < mmlmonkey@163.com>
This commit is contained in:
Lianmin Zheng
2025-01-02 18:25:26 -08:00
parent c7ae474a49
commit 0f9cc6d8d3
4 changed files with 30 additions and 31 deletions

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@@ -6,7 +6,7 @@ Welcome to **SGLang**! We appreciate your interest in contributing. This guide p
### Fork and Clone the Repository
**Note**: New contributors do **not** have the write permission to push to SGLang. Please fork the repository under your GitHub account, then clone your fork locally.
**Note**: New contributors do **not** have the write permission to push to the official SGLang repo. Please fork the repository under your GitHub account, then clone your fork locally.
```bash
git clone https://github.com/<your_user_name>/sglang.git
@@ -36,7 +36,6 @@ SGLang uses Python's built-in [unittest](https://docs.python.org/3/library/unitt
We recommend new contributors start from writing documentation, which helps you quickly understand SGLang codebase. For more details, please refer to [docs/README.md](https://github.com/sgl-project/sglang/tree/main/docs/README.md).
## Tips for Newcomers
If you want to contribute but dont have a specific idea in mind, pick issues labeled [“good first issue” or “help wanted”](https://github.com/sgl-project/sglang/issues?q=is%3Aissue+label%3A%22good+first+issue%22%2C%22help+wanted%22). These tasks typically have lower complexity and provide an excellent introduction to the codebase. Also check out this [code walk-through](https://github.com/zhaochenyang20/Awesome-ML-SYS-Tutorial/tree/main/sglang/code-walk-through) for a deeper look into SGLangs workflow.