---
title: LibreMobileSAM
canonical_url: "https://www.modelscope.cn/models/LibreYOLO/LibreMobileSAM"
md_url: "https://www.modelscope.cn/models/LibreYOLO/LibreMobileSAM.md"
repository: LibreYOLO/LibreMobileSAM
last_updated: 2026-08-26
license: apache-2.0
pipeline_tag: image-segmentation
tasks:
  - image-segmentation
library_name:
  - pytorch
frameworks:
  - pytorch
downloads: 0
stars: 0
tags:
  - libreyolo
  - mobilesam
  - promptable-segmentation
---

# LibreMobileSAM

> LibreMobileSAM - LibreYOLO 在 ModelScope 开源的模型。LibreMobileSAM is the MobileSAM TinyViT checkpoint converted to LibreYOLO's native checkpoint schema for the LibreSAM promptable segmentation tier.

LibreYOLO/LibreMobileSAM 是 ModelScope 魔搭社区上的image-segmentation模型，采用 apache-2.0 许可。

- **Repository**: LibreYOLO/LibreMobileSAM
- **License**: apache-2.0
- **Tasks**: image-segmentation
- **Tags**: libreyolo, mobilesam, promptable-segmentation
- **Downloads**: 0
- **Stars**: 0
- **Last updated**: 2026-08-26

Source: https://www.modelscope.cn/models/LibreYOLO/LibreMobileSAM

---

# LibreMobileSAM

LibreMobileSAM is the MobileSAM TinyViT checkpoint converted to LibreYOLO's
native checkpoint schema for the `LibreSAM` promptable segmentation tier.

## Files

- `LibreMobileSAM.pt`: LibreYOLO schema-wrapped PyTorch checkpoint.
- `LICENSE`: Apache-2.0 license text.
- `NOTICE`: upstream MobileSAM and TinyViT attribution.

## Usage

```python
from libreyolo import LibreMobileSAM

model = LibreMobileSAM()
results = model("image.jpg", points=[[[500, 375]]], labels=[[1]])
```

## Metadata

- Model family: `mobilesam`
- Size: `tiny`
- Task: `segment`
- Input size: `1024`
- Checkpoint schema: LibreYOLO v1.0

This checkpoint is intended for LibreYOLO's promptable segmentation API. It is
not loaded through the `LibreYOLO()` detector factory.