Molmo AI: SOTA Multimodal Open Language AI Model 

Molmo Family of open vision-language models developed by the Allen Institute for AI. OpenSource

MolmoAI is based on Qwen2

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Image Chatbot with Molmo-7B

Image Chatbot with MolmoE-1B

Visual Language Model – Molmo

ColPali fine-tuning Query Generator ColPali is a very exciting new approach to multimodal document retrieval which aims to replace existing document retrievers which often rely on an OCR step with an end-to-end multimodal approach.

Molmo :Open Weights and Open Data
for State-of-the-Art Multimodal Models

Molmo is a newly released open-source multimodal AI model developed by the Allen Institute for Artificial Intelligence (Ai2). Announced on September 25, 2024, it aims to provide high-performance capabilities while maintaining a significantly smaller model size compared to other leading AI systems, such as OpenAI’s GPT-4o and Google’s Gemini 1.5 Pro. there are three version of Molmo ai model :

  • MolmoE-1B: A mixture of experts model with 1 billion active parameters.
  • Molmo-7B-O: The most accessible version with 7 billion parameters.
  • Molmo-72B: The top-performing version with 72 billion parameters

MolmoE-1B: A mixture of experts model with 1 billion active parameters.

Molmo-7B-O: The most accessible version with 7 billion parameters.

Molmo-72B: The top-performing version with 72 billion parameters

VLM Openness Comparison Molmo AI  Outperforming GPT-4o, Gemini 1.5 Pro & Claude 3.5

We characterize the openness of VLMs based on two attributes (open weights, open data and
code) across three model components (the VLM and its two pre-trained components, the LLM backbone and the vision encoder). In addition to open vs. closed, we use the ”distilled” label to indicate that the data used to train the VLM includes images and text generated by a different, proprietary VLM, meaning that the model cannot be reproduced without a dependency on the proprietary VLM

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Frequently Asked Questions About Molmo

Molmo is an open-source multimodal AI model developed by the Allen Institute for Artificial Intelligence (Ai2) that outperforms Llama 3.2 and is available under the Apache 2.0 license.

Molmo outperforms Llama 3.2 and is designed to be more efficient with a simpler architecture that is presumably compatible with flash attention.

All Molmo models are released under the Apache 2.0 license and are available on Hugging Face.

Molmo comes in four main variants: MolmoE-1B (a mixture of experts model), Molmo-7B-O, Molmo-7B-D, and Molmo-72B. The 72B version is based on Qwen2-72B and uses OpenAI CLIP as its vision backbone.

Molmo focuses on the quality of data rather than quantity, using speech-based image descriptions for high-quality training data from the PixMo dataset.

Molmo can understand user interfaces and point at what it sees. It excels in processing both text and images simultaneously, allowing users to ask questions about images for tasks like object identification or counting items within a scene.

Molmo was evaluated on 11 academic benchmarks and through 325,231 human pairwise comparisons, demonstrating its performance and user preference.

Yes , you can Experiencce Fun and Powerful Models like : Diffusers Image Outpaint , Llama3.2 , Qwen2.5

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