Qwen2.5-VL-7B-Meteorology-GGUF Open Source Model - Free Support for Meteorological Image and Text Processing

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Qwen2.5 VL 7B Meteorology GGUF

Developed by mradermacher

Quantized version of Qwen2.5-VL-7B-Meteorology, suitable for image-text processing tasks related to meteorology.

Image-to-Text

Transformers

EnglishOpen Source License:Other #Meteorological image analysis #Multimodal quantification #Lightweight deployment

Downloads 159

Release Time : 7/7/2025

Model Overview

This is a vision-language model specifically designed for image-text processing tasks in fields such as meteorology and climate. It offers multiple quantized versions to meet different needs.

Model Features

Applicable in multiple fields

Suitable for multiple fields such as vision, image text conversion, meteorology, and climate.

Multiple quantization types

It provides multiple quantization types with different sizes and qualities to choose from, ranging from Q2_K to f16.

Efficient inference

The quantized version significantly reduces the model size and improves inference efficiency.

Model Capabilities

Image understanding

Meteorological image analysis

Image-to-text generation

Multimodal processing

Use Cases

Meteorological analysis

Meteorological image interpretation

Analyze meteorological satellite images and generate descriptive text

Visual understanding of climate data

Interpret climate data visualization charts

Multimodal applications

Image description generation

Generate detailed descriptions for meteorology-related images

🚀 Qwen2.5-VL-7B-Meteorology Quantized Model

This repository provides static quantizations of the Qwen2.5-VL-7B-Meteorology model, offering various quantization types for different usage scenarios.

📚 Documentation

Model Information

Property	Details
Base Model	deepguess/Qwen2.5-VL-7B-Meteorology
Library Name	transformers
License	qwen2.5-vl
Quantized By	mradermacher
Tags	vision, image-text-to-text, weather, meteorology, climate, qwen2.5-vl

About

These are static quants of https://huggingface.co/deepguess/Qwen2.5-VL-7B-Meteorology. Weighted/imatrix quants are available at https://huggingface.co/mradermacher/Qwen2.5-VL-7B-Meteorology-i1-GGUF.

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

(sorted by size, not necessarily quality. IQ-quants are often preferable over similar sized non-IQ quants)

Link	Type	Size/GB	Notes
GGUF	Q2_K	3.1
GGUF	Q3_K_S	3.6
GGUF	Q3_K_M	3.9	lower quality
GGUF	Q3_K_L	4.2
GGUF	IQ4_XS	4.4
GGUF	Q4_K_S	4.6	fast, recommended
GGUF	Q4_K_M	4.8	fast, recommended
GGUF	Q5_K_S	5.4
GGUF	Q5_K_M	5.5
GGUF	Q6_K	6.4	very good quality
GGUF	Q8_0	8.2	fast, best quality
GGUF	f16	15.3	16 bpw, overkill

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: https://gist.github.com/Artefact2/b5f810600771265fc1e39442288e8ec9

FAQ / Model Request

See https://huggingface.co/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 qwen2.5-vl license.

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