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OpenSpatial-InternVL2.5-8B
VINHYU/OpenSpatial-InternVL2.5-8B
OpenSpatial-InternVL2.5-8B 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 mit.
OpenSpatial-InternVL2.5-8B is an OpenSpatial model fine-tuned for spatial understanding and reasoning. This repository contains full, inference-ready model weights.
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At a glance
- Task
- Image-Text-to-Text
- Library
- transformers
- License
- mit
- Model type
- internvl_chat
- Access
- Public
- Created
- Sep 1, 2026
- Updated
- Sep 1, 2026
- SHA
- fc4f5e5e
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Base models
Model card
From the Hugging Face model README
OpenSpatial-InternVL2.5-8B
OpenSpatial-InternVL2.5-8B 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/OpenGVLab/InternVL2_5-8B
Loading
Use transformers the version recommended by InternVL2.5 for this checkpoint.
from transformers import AutoModel, AutoTokenizer
model_id = "VINHYU/OpenSpatial-InternVL2.5-8B"
model = AutoModel.from_pretrained(
model_id,
torch_dtype="auto",
low_cpu_mem_usage=True,
trust_remote_code=True,
).eval().cuda()
tokenizer = AutoTokenizer.from_pretrained(
model_id, trust_remote_code=True, use_fast=False
)
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
- internvl_chat
- License
- mit
- Created
- Sep 1, 2026
- Updated
- Sep 1, 2026