SpaceThinker-Qwen2.5VL-3B-i1-GGUF Open-Source Multi-Modal Model - Empowering Spatial Reasoning and Visual Question Answering

Spacethinker Qwen2.5VL 3B I1 GGUF

Developed by mradermacher

SpaceThinker-Qwen2.5VL-3B is a multimodal vision-language model focusing on spatial reasoning and visual question answering tasks.

Text-to-Image EnglishOpen Source License:Apache-2.0 #Multimodal spatial reasoning #Visual question answering synthesis #Low-resource quantization deployment

Downloads 593

Release Time : 4/18/2025

Model Overview

This model is based on the Qwen2.5VL architecture and is designed for tasks such as spatial reasoning, distance estimation, and visual question answering. It is suitable for the fields of robotics and embodied artificial intelligence.

Model Features

Multimodal capabilities

Process visual and language inputs simultaneously to achieve cross-modal understanding

Spatial reasoning

Specially optimized quantitative spatial reasoning capabilities, including tasks such as distance estimation

Efficient quantization

Provide multiple quantization versions to meet the deployment requirements under different hardware conditions

Computation at test time

Support complex calculations and thinking during the inference process

Model Capabilities

Visual question answering

Spatial reasoning

Distance estimation

Multimodal understanding

Image analysis

Text generation

Use Cases

Robotics

Environmental spatial understanding

Help robots understand the spatial relationships in the surrounding environment

Improve the accuracy of navigation and object manipulation

Education

Visual question answering system

Answer complex questions about image content

Enhance the interactive learning experience

🚀 SpaceThinker-Qwen2.5VL-3B Quantized Model

This project provides quantized versions of the SpaceThinker-Qwen2.5VL-3B model, offering various quantization types with different sizes and qualities. It enables efficient usage of the model in different scenarios.

🚀 Quick Start

If you're new to using this quantized model, refer to the following sections for detailed information on its background, usage, and available quantized versions.

✨ Features

Multiple Quantization Types: Offers a wide range of quantization types, sorted by size, providing options for different resource requirements and quality preferences.
Visual Comparison: Includes a graph comparing some lower - quality quant types, helping users make informed decisions.
External References: Provides links to external resources such as Artefact2's thoughts and model request FAQs.

📚 Documentation

About

The model is a weighted/imatrix quant of SpaceThinker - Qwen2.5VL - 3B. Static quants are available at mradermacher/SpaceThinker - Qwen2.5VL - 3B - GGUF.

Property	Details
Base Model	remyxai/SpaceThinker-Qwen2.5VL-3B
Datasets	remyxai/SpaceThinker
Language	en
Library Name	transformers
License	apache - 2.0
Quantized By	mradermacher
Tags	remyx, qwen2.5 - vl, spatial - reasoning, multimodal, vlm, vqasynth, thinking, reasoning, test - time - compute, robotics, embodied - ai, quantitative - spatial - reasoning, distance - estimation, visual - question - answering

Usage

If you are unsure how to use GGUF files, refer to one of TheBloke's READMEs for more details, including on how to concatenate multi - part files.

Provided Quants

The following table lists the available quantized versions, sorted by size (not necessarily quality. IQ - quants are often preferable over similar sized non - IQ quants):

Link	Type	Size/GB	Notes
GGUF	i1 - IQ1_S	0.9	for the desperate
GGUF	i1 - IQ1_M	1.0	mostly desperate
GGUF	i1 - IQ2_XXS	1.0
GGUF	i1 - IQ2_XS	1.1
GGUF	i1 - IQ2_M	1.2
GGUF	i1 - Q2_K_S	1.3	very low quality
GGUF	i1 - Q2_K	1.4	IQ3_XXS probably better
GGUF	i1 - IQ3_XXS	1.4	lower quality
GGUF	i1 - IQ3_XS	1.5
GGUF	i1 - Q3_K_S	1.6	IQ3_XS probably better
GGUF	i1 - IQ3_S	1.6	beats Q3_K*
GGUF	i1 - IQ3_M	1.6
GGUF	i1 - Q3_K_M	1.7	IQ3_S probably better
GGUF	i1 - Q3_K_L	1.8	IQ3_M probably better
GGUF	i1 - IQ4_XS	1.8
GGUF	i1 - IQ4_NL	1.9	prefer IQ4_XS
GGUF	i1 - Q4_0	1.9	fast, low quality
GGUF	i1 - Q4_K_S	1.9	optimal size/speed/quality
GGUF	i1 - Q4_K_M	2.0	fast, recommended
GGUF	i1 - Q4_1	2.1
GGUF	i1 - Q5_K_S	2.3
GGUF	i1 - Q5_K_M	2.3
GGUF	i1 - Q6_K	2.6	practically like static Q6_K

Here is a handy graph by ikawrakow comparing some lower - quality quant types (lower is better):

And here are Artefact2's thoughts on the matter: Artefact2's Gist

FAQ / Model Request

See mradermacher/model_requests for some answers to questions you might have and/or if you want some other model quantized.

Thanks

I thank my company, nethype GmbH, for letting me use its servers and providing upgrades to my workstation to enable this work in my free time. Additional thanks to @nicoboss for giving me access to his private supercomputer, enabling me to provide many more imatrix quants, at much higher quality, than I would otherwise be able to.

📄 License

This project is licensed under the Apache - 2.0 license.

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