Downloads · 30 days
0
amolharsh/Ground3D-LMM-4B-3D
Ground3D-LMM-4B-3D is a image-text-to-text model from amolharsh. Use it for the image-text-to-text 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.
Ground3D-LMM is a large multimodal model for fine-grained 3D point grounding and spatial reasoning in indoor scenes. It produces per-point segmentation masks alongside grounded natural-language answers across 8 sub-ta…
Downloads · 30 days
0
Access
Public
Updated Jun 22, 2026
Repo size
11.7 GB
Likes
0
Public
Click a slice to open those files.
.pth11.7 GB · 100%
From the Hugging Face model README
Ground3D-LMM is a large multimodal model for fine-grained 3D point grounding and spatial reasoning in indoor scenes. It produces per-point segmentation masks alongside grounded natural-language answers across 8 sub-tasks on ScanNet and ScanNet++.
This checkpoint is the 3D-only variant: 3D point cloud only (no RGB frames). Point-only variant — no RGB frames required.
pytorch_model.pth (full PyTorch state dict, ~11.7 GB)from huggingface_hub import snapshot_download
ckpt_dir = snapshot_download(repo_id="amolharsh/Ground3D-LMM-4B-3D")
# checkpoint at: f"{ckpt_dir}/pytorch_model.pth"
CKPT="$(huggingface-cli download amolharsh/Ground3D-LMM-4B-3D --quiet)/pytorch_model.pth"
PYTHONPATH=. python tools/test.py configs/ground3dlmm_eval_ground3d_scannet.py "$CKPT" --work-dir work_dirs/quickstart
See the GitHub README for full inference and training instructions.
Apache-2.0