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Spaceqwen2.5 VL 3B Instruct GGUF

Developed by mradermacher
SpaceQwen2.5-VL-3B-Instruct is a multimodal vision-language model focused on spatial reasoning and embodied AI tasks.
Downloads 282
Release Time : 4/11/2025

Model Overview

Based on the Qwen architecture, this model possesses both visual and language understanding capabilities, with particular expertise in handling tasks related to spatial reasoning, distance estimation, and robotics.

Model Features

Multimodal Capability
Processes both visual and linguistic inputs for cross-modal understanding
Spatial Reasoning
Specially optimized for handling spatial relationships and distance estimation tasks
Quantization Support
Offers multiple quantized versions to accommodate different hardware requirements
Robotics Applications
Suitable for embodied AI and robot navigation-related tasks

Model Capabilities

Visual Question Answering
Image Understanding
Spatial Relationship Reasoning
Distance Estimation
Multimodal Reasoning
Robot Navigation Assistance

Use Cases

Robotics
Environment Navigation
Assists robots in understanding environmental spatial relationships for navigation
Augmented Reality
Spatial Annotation
Identifies and annotates spatial relationships of objects in real-world environments
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