| 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. | |