Moondream
A team and company focused on the research and development of small, efficient AI models, with a core emphasis on extreme model compression and edge deployment.
Timeline (last 90 days)
Parakeet Redux is a ternary-quantized speech-to-text model produced by the Moondream team based on NVIDIA Parakeet 0.6B v3, with the size compressed from approximately 1.2 GB to approximately 178 MB.
Photon was paid before June and became free afterward; Moondream also sells a cloud-based version of Photon, with the team's cloud plan priced at approximately $350 per month.
Ksyon uses Moondream to achieve visual understanding of its surrounding environment.
Moondream uses SigLIP as its visual encoder.
Ksyon uses Moondream to implement its visual perception capabilities.
Moondream is an open-source small vision-language model (VLM) with a small parameter count that can be deployed locally on consumer-grade hardware.
Moondream compresses its parameter count to approximately 2 billion through techniques such as knowledge distillation, model pruning, and efficient attention mechanisms.
Local visual inference offers three advantages: privacy protection, low-latency response, and zero API call costs.
All Facts (8)
Parakeet Redux is a ternary-quantized speech-to-text model produced by the Moondream team based on NVIDIA Parakeet 0.6B v3, with the size compressed from approximately 1.2 GB to approximately 178 MB.
50%UnverifiedPhoton was paid before June and became free afterward; Moondream also sells a cloud-based version of Photon, with the team's cloud plan priced at approximately $350 per month.
50%UnverifiedKsyon uses Moondream to achieve visual understanding of its surrounding environment.
50%UnverifiedMoondream uses SigLIP as its visual encoder.
50%UnverifiedKsyon uses Moondream to implement its visual perception capabilities.
50%UnverifiedMoondream is an open-source small vision-language model (VLM) with a small parameter count that can be deployed locally on consumer-grade hardware.
50%UnverifiedMoondream compresses its parameter count to approximately 2 billion through techniques such as knowledge distillation, model pruning, and efficient attention mechanisms.
50%UnverifiedLocal visual inference offers three advantages: privacy protection, low-latency response, and zero API call costs.
50%