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Ground3D-LMM-CAVQA-4B-Joint
amolharsh/Ground3D-LMM-CAVQA-4B-Joint
Ground3D-LMM-CAVQA-4B-Joint is a visual question answering model from amolharsh. Use it for the visual question answering task on the model card, and read the license before you ship it in a product. It is set up for pytorch. The card lists the license as apache-2.0.
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).
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Public
Updated Jul 19, 2026
Repo size
11.5 GB
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.pth11.5 GB · 100%
At a glance
- Task
- Visual Question Answering
- Library
- pytorch
- License
- apache-2.0
- Access
- Public
- Created
- Jul 19, 2026
- Updated
- Jul 19, 2026
- SHA
- 4f6afd5c
Model card
From the Hugging Face model README
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
- Task
- Visual Question Answering
- Library
- pytorch
- License
- apache-2.0
- Created
- Jul 19, 2026
- Updated
- Jul 19, 2026