Downloads · 30 days
28
42% of all-time downloads
OpenSpatial-Qwen3-VL-8B
VINHYU/OpenSpatial-Qwen3-VL-8B
OpenSpatial-Qwen3-VL-8B is a image-text-to-text model from VINHYU. 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 transformers. The card lists the license as apache-2.0.
OpenSpatial-Qwen3-VL-8B is an OpenSpatial model fine-tuned for spatial understanding and reasoning. This repository contains full, inference-ready model weights.
All-time downloads
67
Public
Parameters
8.8B
17.5 GB on disk
Likes
0
Public
Repo makeup
Click a slice to open those files.
.safetensors17.5 GB · 100%
At a glance
- Task
- Image-Text-to-Text
- Library
- transformers
- License
- apache-2.0
- Model type
- qwen3_vl
- Access
- Public
- Created
- Sep 1, 2026
- Updated
- Sep 1, 2026
- SHA
- 964c638d
Try a prompt
Base models
Model card
From the Hugging Face model README
OpenSpatial-Qwen3-VL-8B
OpenSpatial-Qwen3-VL-8B is an OpenSpatial model fine-tuned for spatial understanding and reasoning. This repository contains full, inference-ready model weights.
- Project: https://github.com/VINHYU/OpenSpatial
- Paper: https://arxiv.org/abs/2604.07296
- Training data: https://huggingface.co/datasets/jdopensource/JoyAI-Image-OpenSpatial
- Base model: https://huggingface.co/Qwen/Qwen3-VL-8B-Instruct
Loading
Use transformers >=4.57.0 for this checkpoint.
from transformers import AutoProcessor, Qwen3VLForConditionalGeneration
model_id = "VINHYU/OpenSpatial-Qwen3-VL-8B"
model = Qwen3VLForConditionalGeneration.from_pretrained(
model_id, torch_dtype="auto", device_map="auto"
)
processor = AutoProcessor.from_pretrained(model_id)
Please refer to the OpenSpatial repository and the base model repository for full usage instructions, limitations, and license terms.
- Task
- Image-Text-to-Text
- Library
- transformers
- Type
- qwen3_vl
- License
- apache-2.0
- Created
- Sep 1, 2026
- Updated
- Sep 1, 2026