Update README.md

README.md

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 ## Model Description
 ForestFireVLM-3B is a specialized vision-language model fine-tuned from [Qwen2.5-VL-3B-Instruct](https://huggingface.co/Qwen/Qwen2.5-VL-3B-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](https://github.com/hiyouga/LLaMA-Factory/) was used for fine-tuning this model.
+The [LLaMA-Factory](https://github.com/hiyouga/LLaMA-Factory/) framework was used for fine-tuning this model.
 
 ## How to Use
 The model can be used with vLLM to create an OpenAI API compatible endpoint:
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 ```
 
 ## Evaluations
-Evaluations were done with our code available on [GitHub](https://github.com/leon-seidel/ForestFireVLM), using the [ForestFireInsights-Eval dataset](https://huggingface.co/datasets/leon-se/ForestFireInsights-Eval).
+Evaluations were done with our code available on [GitHub](https://github.com/leon-seidel/ForestFireVLM), using the [ForestFireInsights-Eval](https://huggingface.co/datasets/leon-se/ForestFireInsights-Eval) dataset.
 
 ## Citations