How to Build a Vision-Guided Web AI Agent with MolmoWeb-4B Using Multimodal Reasoning and Action Prediction

Tutorial setup installs required dependencies and configures the Colab environment, the tutorial sets up the full environment in Colab and installs required Python packages.

Model checkpoint uses the checkpoint allenai/MolmoWeb-4B, the repository checkpoint used is allenai/MolmoWeb-4B.

Model loading loads model with 4-bit NF4 quantization, the code loads the MolmoWeb-4B model with 4-bit NF4 quantization when QUANTIZE is True.

Quantization config configures BitsAndBytesConfig with load_in_4bit, bnb_4bit_quant_type='nf4', bnb_4bit_compute_dtype=torch.bfloat16, and bnb_4bit_use_double_quant=True, bitsAndBytesConfig is configured with load_in_4bit, nf4 quant type, bfloat16 compute dtype, and double quantization.

Model loading can load model in full bfloat16 precision, when quantization is disabled the model is loaded in bfloat16 precision.