Update README.md

README.md

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 MolmoAct is a fully open-source action reasoning model for robotic manipulation developed by the Allen Institute for AI. MolmoAct is trained on a subset of OXE and MolmoAct Dataset, a dataset with 10k high-quality trajectories of a single-arm Franka robot performing 93 unique manipulation tasks in both home and tabletop environments. It has state-of-the-art performance among vision-language-action models on multiple benchmarks while being fully open-source. You can find all models in the MolmoAct family [here](https://huggingface.co/collections/allenai/molmoact-689697591a3936fba38174d7).
 **Learn more about MolmoAct** in our announcement [blog post](https://allenai.org/blog/molmoact) or the [paper](https://arxiv.org/abs/2508.07917).
 
-**MolmoAct 7B-D Captioner** is based on [Qwen2.5-7B](https://huggingface.co/Qwen/Qwen2.5-7B) and uses [SigLip2](https://huggingface.co/google/siglip2-so400m-patch14-384) as the vision backbone, which is trained on Pixmo-Cap using the same way as Molmo's pre-training stage. This model then becomes a captioner model for image dense captioning, and is intended to be used for MolmoAct training replication from scratch, since we start MolmoAct-D pre-training stage based on this checkpoint. Note that this model is not for running any action inferences or benchmarking, so we skip the inference instruction for this model.
+**MolmoAct 7B-D Captioner** is based on [Qwen2.5-7B](https://huggingface.co/Qwen/Qwen2.5-7B) and uses [SigLip2](https://huggingface.co/google/siglip2-so400m-patch14-384) as the vision backbone, which is trained on Pixmo-Cap using the same way as Molmo's pre-training stage. This model then becomes a captioner model for image dense captioning, and is intended to be used for MolmoAct training replication from scratch, since we start MolmoAct 7B-D pre-training stage based on this checkpoint. Note that this model is not for running any action inferences or benchmarking, so we skip the inference instruction for this model.
 
 This checkpoint is a **preview** of the MolmoAct release. All artifacts used in creating MolmoAct (data, training code, evaluations, intermediate checkpoints) will be made available at a later date, furthering our commitment to open-source AI development and reproducibility.