---
license: apache-2.0
library_name: transformers
tags:
- generative-embedding
- multimodal
- benchmark
---

# GEB Decoder Checkpoints

Official decoder checkpoints for [Generative Embedding Benchmark](https://github.com/LimitedMouse/Generative-Embedding-Benchmark).

| Embedder | Mode | Subfolder |
|---|---|---|
| Qwen3-VL-Embedding-2B | Visual-only | `qwen3vl-2b/visual_only` |
| Qwen3-VL-Embedding-2B | VL-joint | `qwen3vl-2b/vl_joint` |
| Qwen3-VL-Embedding-8B | Visual-only | `qwen3vl-8b/visual_only` |
| Qwen3-VL-Embedding-8B | VL-joint | `qwen3vl-8b/vl_joint` |

Each checkpoint contains the trained Qwen3-0.6B readout and its embedding
adapter. The embedding model itself is not bundled. Use the matching embedder
and evaluation mode shown above.

Install and evaluate through the code repository:

```bash
pip install -e '.[eval]'
NPROC=8 BATCH_SIZE=16 bash scripts/evaluate_paper.sh \
  qwen3vl-2b auto test visual_only
```

The checkpoints are intended for reproducing the GEB paper results. The Qwen
models and upstream evaluation datasets remain subject to their own licenses.