Update README.md

README.md

@@ -32,16 +32,17 @@ consistent gains through test-time scaling via parallel rollouts with best-of-N
 and 60.5% pass@4 (compared to 78.2% and 35.3% pass@1)on WebVoyager and Online-Mind2Web
 respectively. 
 
-**Learn more** about the MolmoWeb family [in our announcement blog post](https://allenai.org/blog/molmoweb).
+**Learn more** about the MolmoWeb family in our announcement [blog post](https://allenai.org/blog/molmoweb) and [tech report](https://allenai.org/papers/molmoweb).
 
-MolmoWeb-8B is based on [Molmo2](https://arxiv.org/abs/2601.10611) architecture, which uses [Qwen3-8B](https://huggingface.co/Qwen/Qwen3-8B) and [SigLIP 2](https://huggingface.co/google/siglip-so400m-patch14-384) as vision backbone. 
+MolmoWeb-4B is based on [Molmo2](https://arxiv.org/abs/2601.10611) architecture, which uses [Qwen3-8B](https://huggingface.co/Qwen/Qwen3-8B) and [SigLIP 2](https://huggingface.co/google/siglip-so400m-patch14-384) as vision backbone. 
 
-Ai2 is commited to open science. The MolmoWeb datasets are available [here](https://huggingface.co/collections/allenai/molmoweb-data). 
+Ai2 is committed to open science. The MolmoWeb datasets are available [here](https://huggingface.co/collections/allenai/molmoweb-data). 
 All other artifacts used in creating MolmoWeb (training code, [evaluations](https://github.com/allenai/molmoweb), intermediate checkpoints) will be made available, furthering our commitment to open-source AI development and reproducibility.
 
 Quick links:
 - 💬 [Demo](https://molmoweb.allen.ai/)
 - 📂 [All Models](https://huggingface.co/collections/allenai/molmoweb)
+- 📚 [All Data](https://huggingface.co/collections/allenai/molmoweb-data)
 - 📃 [Paper](https://allenai.org/papers/molmoweb)
 - 🎥 [Blog with Videos](https://allenai.org/blog/molmoweb)