Tagged "multimodal-models"
7 articles tagged multimodal-models, 10 March 2026 to 3 August 2026. Newest first.
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Thinking Machines Lab Releases Inkling-Small: A 276B Total, 12B Active Open Weights Multimodal MoE Model
Thinking Machines Lab has released Inkling-Small, an open-weights multimodal mixture-of-experts model with 276B total parameters but only 12B active during inference, enabling efficient local deployment on consumer hardware.
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Tether Data Releases VisionPsy-Nano: Open Source Edge Visual Language Model
Tether Data announces VisionPsy-Nano, an open-source visual language model optimized for edge deployment, expanding the local LLM ecosystem beyond text-only inference to multimodal on-device capabilities.
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Show HN: Agnes AI – Free Multimodal API (Text, Image, Video), OpenAI-Compatible
Agnes AI launches a free, OpenAI-compatible multimodal API supporting text, image, and video processing. The platform's compatibility with existing local inference frameworks makes it relevant for practitioners exploring self-hosted multimodal capabilities.
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Deploying Frigate & Ollama On A Minisforum MS-A2 Server
A practical deployment guide demonstrates running Frigate video analytics and Ollama LLM inference simultaneously on compact, low-power edge hardware. This real-world example shows how to combine multiple AI workloads on resource-constrained devices.
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Qwen 3.5 Small – On-Device Multimodal Models Released
Alibaba's Qwen team has released Qwen 3.5 Small, a new multimodal model optimized for on-device inference. This lightweight model enables local deployment of vision and language capabilities without cloud dependencies.
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MiniMax-M2.7: New Compact Model Announced for Local Deployment
MiniMax has announced the M2.7 model, generating interest in the community regarding its potential multimodal capabilities and suitability for local inference workloads.
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PhotoPrism AI-Powered Photos App Brings Better Ollama Integration
PhotoPrism enhances its local AI capabilities with improved integration of Ollama, enabling on-device image recognition and photo organization without cloud dependencies.