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README.md

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 ## Model Description
 ForestFireVLM-7B is a specialized vision-language model fine-tuned from [Qwen2.5-VL-7B-Instruct](https://huggingface.co/Qwen/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](https://github.com/hiyouga/LLaMA-Factory/) framework was used for fine-tuning this model. Quantized to FP8 with `llm-compressor`.
+The [LLaMA-Factory](https://github.com/hiyouga/LLaMA-Factory/) framework was used for fine-tuning this model. Quantized to FP8 with [llm-compressor](https://github.com/vllm-project/llm-compressor).
 
 ## How to Use
 The model can be used with vLLM to create an OpenAI API compatible endpoint: