Update model card

README.md

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 LabOS-VLM-32B is a PEFT LoRA adapter for `Qwen/Qwen2.5-VL-32B-Instruct`, fine-tuned on wet-lab supervision tasks from the LabOS JoVE and FineBio datasets and validated on the LSV benchmark. These tasks include protocol monitoring/step prediction, error detection, spatial grounding, protocol generation, and general VQA with first-person and third-person views.
 
-The adapter is intended for research on laboratory video-language assistants. It works best with the JSON-style monitoring and benchmark prompts used by the LabOS datasets, such as the public LSV benchmark at [`cong-lab/lsv`](https://huggingface.co/datasets/cong-lab/lsv). Note, expected performance may drop in different modalities, tools, or prompts, as typically expected with SFT.
+The adapter is intended for research on laboratory video-language assistants. It works best with the JSON-style monitoring and benchmark prompts used by the LabOS datasets, such as the public LSV benchmark at [`cong-lab/lsv`](https://huggingface.co/datasets/cong-lab/lsv). Note, the expected performance may drop when evaluating on different modalities, or prompts, as is typically expected with SFT.
 
 ## Adapter Details