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:
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leon-se ForestFireVLM-7B-FP8-Dynamic online free url in huggingface.co:
ForestFireVLM-7B-FP8-Dynamic is an open source model from GitHub that offers a free installation service, and any user can find ForestFireVLM-7B-FP8-Dynamic on GitHub to install. At the same time, huggingface.co provides the effect of ForestFireVLM-7B-FP8-Dynamic install, users can directly use ForestFireVLM-7B-FP8-Dynamic installed effect in huggingface.co for debugging and trial. It also supports api for free installation.
ForestFireVLM-7B-FP8-Dynamic install url in huggingface.co: