Instructions to use xju-arlab/vbench-model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use xju-arlab/vbench-model with PEFT:
Task type is invalid.
- Notebooks
- Google Colab
- Kaggle
Download multiple_objects/selection.json from xju-arlab/vbench-model: direct link, hf CLI and curl.
- Browser
- Download file 773 Bytes
-
https://huggingface.co/xju-arlab/vbench-model/resolve/main/multiple_objects/selection.json
- Command line
-
hf download hf://xju-arlab/vbench-model/multiple_objects/selection.json
-
curl -L -o selection.json https://huggingface.co/xju-arlab/vbench-model/resolve/main/multiple_objects/selection.json
773 Bytes
| { | |
| "dimension": "multiple_objects", | |
| "version": "v6-8b", | |
| "task": "objects", | |
| "source_checkpoint": "/data1/wenbiao_zhao/vbench-prompts-compile/runs/formal/v6-8b/objects/adapter_model.safetensors", | |
| "selection": "best_retained_dev_exact_match_then_latest_step", | |
| "selected_step": 900, | |
| "dev_exact_match": 0.9166666666666666, | |
| "dev_samples": 24, | |
| "best_logged_dev_exact_match": 0.9166666666666666, | |
| "higher_scoring_checkpoint_pruned": false, | |
| "test_used_for_selection": false, | |
| "sha256": "eb036c6e7b123a4243c3f22c03f87d4040bc51e9b875a7319346a6c16b03f771", | |
| "bytes": 174655536, | |
| "tensor_count": 504, | |
| "base_model": "Qwen/Qwen3-8B", | |
| "base_revision": "b968826d9c46dd6066d109eabc6255188de91218", | |
| "source_code_sha": "ea9d500f21d800507ef220b6e95fee672d0e70f1" | |
| } | |