metadata

license: apache-2.0
datasets:
  - leon-se/ForestFireInsights-Eval
language:
  - en
base_model:
  - Qwen/Qwen2.5-VL-7B-Instruct
tags:
  - climate

Model Card: ForestFireVLM-7B-FP8-Dynamic

Model Description

ForestFireVLM-7B is a specialized vision-language model fine-tuned from Qwen2.5-VL-7B-Instruct specifically for forest fire detection and analysis tasks. This model is designed to identify and analyze various aspects of forest fires from aerial imagery, including smoke detection, flame visibility, fire characteristics, and potential hazards. The LLaMA-Factory framework was used for fine-tuning this model. Quantized to FP8 with llm-compressor.

How to Use

The model can be used with vLLM to create an OpenAI API compatible endpoint:

vllm serve leon-se/ForestFireVLM-7B-FP8-Dynamic --max-model-len 10000

Evaluations

Evaluations were done with our code available on GitHub, using the ForestFireInsights-Eval dataset.

Citations

This model is associated with research currently under peer review with MDPI. Please cite our paper when using this model:

[Citation will be added when the paper is published]