Molmo

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Molmo is an Open Source & Models tool that provides code for training and using state-of-the-art multimodal open language models. It integrates vision encoding and generative evaluations, building upon the OLMo codebase.

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At a glance

Pricing

Open Source

Free tier

Yes

API

Skill level

Technical

About

What is molmo?

Molmo is an open-source repository from AllenAI designed for training and utilizing advanced multimodal open language models (VLMs). Based on the OLMo codebase, Molmo enhances its capabilities with vision encoding and generative evaluations. The platform offers various models, including MolmoE-1B, Molmo-7B-O, Molmo-7B-D, and Molmo-72B, catering to different scales and performance needs. It also introduces PixMo, a collection of diverse datasets for pre-training and fine-tuning VLMs, covering tasks like dense captioning, instruction-tuning, and grounding. Molmo provides detailed installation guides, data downloading scripts, and evaluation tools, making it a comprehensive resource for researchers and developers working with multimodal AI.

Best used for

Ideal for developers and data scientists who need to train and evaluate state-of-the-art multimodal open language models, fine-tune existing models with diverse datasets, and conduct research in multimodal AI. Especially valuable for those seeking open-source solutions with comprehensive tools for vision encoding and generative evaluations.

Common actions

train AI models

evaluate AI models

develop multimodal AI

fine-tune language models

manage datasets

open-sourceworkflowsface swappingdeepfakeautomated workflowgithub copilotcollaborationlow-code/no-code"AI Agents"

Capabilities

Key features

Multimodal language model code
Vision encoding integration
Generative evaluation tools
PixMo datasets collection
Pre-trained model weights
Data downloading scripts
Multitask training support

Target Audience

developerdata scientist

Integrations

Not yet documented

Pricing & Plans

Open Source

Free

FAQs

What are the key components of the Molmo framework?

Molmo is built upon the OLMo codebase and integrates vision encoding and generative evaluations. It includes various Molmo models (e.g., Molmo-7B-D, Molmo-72B) and the PixMo dataset collection, which provides diverse data for pre-training and fine-tuning multimodal models.

How can I access the datasets used by Molmo?

Molmo primarily uses Hugging Face datasets, which are stored in the default Hugging Face cache. Additional data can be stored in a directory specified by MOLMO_DATA_DIR. A Python script is provided to download all necessary datasets, including the PixMo collection.

What are the hardware requirements for training Molmo models?

Training Molmo models, especially larger ones like the 72B model, typically requires significant computational resources. The documentation suggests using multiple GPUs (e.g., 8 GPUs for single-node training) and potentially multiple nodes for the largest models, with FSDP for memory management.

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