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

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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.