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Spaceom GGUF

Developed by mgonzs13
SpaceOm-GGUF is a multimodal model focusing on visual question answering tasks and performs excellently in spatial reasoning.
Downloads 196
Release Time : 6/11/2025

Model Overview

SpaceOm-GGUF is a multimodal model trained on specific datasets, proficient in visual question answering and spatial reasoning tasks, and can be used for image - text conversion.

Model Features

Enhanced Spatial Reasoning Ability
Improved on the basis of SpaceThinker, enhancing spatial understanding ability through longer reasoning trajectory training
Optimization for Robotics Field
Trained with the Robo2VLM - Reasoning dataset to enhance performance in robot application scenarios
Multimodal Fusion
Combining visual and language processing capabilities to achieve high - quality image - text conversion

Model Capabilities

Visual Question Answering
Spatial Reasoning
Image Description Generation
Object Localization
Spatial Relationship Understanding
Distance Estimation

Use Cases

Robot Navigation
Spatial Environment Understanding
Help robots understand the spatial layout of the surrounding environment
Achieved a target localization score of 54.00 in the SpatialScore benchmark test
Education
Visual Question Answering System
Answer complex spatial questions about image content
Achieved a target - target spatial relationship score of 50.00 in the SpaCE - 10 benchmark test
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