@DanKornas: Most AI agents still split vision, language, and action across separate systems. Magma is a Microsoft Research foundati…

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Summary

Magma is an open-source repository from Microsoft Research for building multimodal AI agents that integrate vision, language, and action, providing model links, inference examples, training instructions, and demos.

Most AI agents still split vision, language, and action across separate systems. Magma is a Microsoft Research foundation model repo for multimodal AI agents that need to perceive images/videos and produce goal-driven actions. It helps you study and prototype agentic models by putting the paper, model links, inference examples, training instructions, evaluation paths, and demos in one place. Key features: • Multimodal agent focus – designed around image/video understanding plus goal-driven visual plans and actions • Model access – README links Magma-8B on Hugging Face and Azure AI Foundry • Multiple inference paths – examples for Hugging Face Transformers, local repo code, and bitsandbytes • Training docs – includes Open-X pretraining notes and Magma-820K finetuning instructions • Agent tooling – includes lmms-eval, SimplerEnv, FastAPI server, UI agent, gaming agent, and robot visual-planning demo docs It’s open-source (MIT license). Link in the reply
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Cached at: 05/24/26, 04:22 AM

Most AI agents still split vision, language, and action across separate systems.

Magma is a Microsoft Research foundation model repo for multimodal AI agents that need to perceive images/videos and produce goal-driven actions.

It helps you study and prototype agentic models by putting the paper, model links, inference examples, training instructions, evaluation paths, and demos in one place.

Key features:

• Multimodal agent focus – designed around image/video understanding plus goal-driven visual plans and actions • Model access – README links Magma-8B on Hugging Face and Azure AI Foundry • Multiple inference paths – examples for Hugging Face Transformers, local repo code, and bitsandbytes • Training docs – includes Open-X pretraining notes and Magma-820K finetuning instructions • Agent tooling – includes lmms-eval, SimplerEnv, FastAPI server, UI agent, gaming agent, and robot visual-planning demo docs

It’s open-source (MIT license).

Link in the reply

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