Ground3D LMM CAVQA 4B Joint
Fine-tuned Ground3D-LMM checkpoint for CA-VQA (paper Table 9 — generality beyond ScanNet), 3D+2D (point cloud + RGB views) setting. Reproduces the paper's Table-9 average (48).
Source du modèle
- Type
- Other
- Taille du fichier
- 10,7 GB
- Version
- vPytorch model
- Mis à jour
- 10 oct. 2026
- Source
- Hugging Face
Description de la source
Ground3D-LMM — CA-VQA (3D+2D)
Fine-tuned Ground3D-LMM checkpoint for CA-VQA (paper Table 9 — generality beyond ScanNet), 3D+2D (point cloud + RGB views) setting. Reproduces the paper's Table-9 average (~48).
- Checkpoint file:
pytorch_model.pth - Code: https://github.com/AmolHarsh/ground3d-lmm
Usage
CKPT=$(huggingface-cli download amolharsh/Ground3D-LMM-CAVQA-4B-Joint pytorch_model.pth)
# evaluate with the CA-VQA harness: infer_cavqa.py -> merge_preds.py -> evaluate_cavqa.py
Sources
1 source
Sources
1 sourceVérifié 10 oct.
Artefacts du modèle
1 artefact
Artefacts du modèle
1 artefactExtraits de sources
2 extraits
Extraits de sources
2 extraits--- license: apache-2.0 library_name: pytorch tags: - 3d - visual-question-answering - spatial-reasoning - ground3d-lmm --- # Ground3D-LMM — CA-VQA (3D+2D) Fine-tuned **Ground3D-LMM** checkpoint for **CA-VQA** (paper **Table 9** — generality beyond ScanNet), **3D+2D (point cloud + RGB views)** setting. Reproduces the paper's Table-9 average (~48). - **Checkpoint file:** `pytorch_model.pth` - **Code:** https://github.com/AmolHarsh/ground3d-lmm ## Usage ```bash CKPT=$(huggingface-cli download amolharsh/Ground3D-LMM-CAVQA-4B-Joint pytorch_model.pth) # evaluate with the CA-VQA harness: infer_cavqa.py -> merge_preds.py -> evaluate_cavqa.py ```
Source context: 0 downloads · 0 likes · Pipeline visual-question-answering · Library pytorch · Repo amolharsh/Ground3D-LMM-CAVQA-4B-Joint
