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IoT

Deploy Real-Time AI to Various Devices Providing Next-Generation User Experiences

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Models

650 variants · 265 models
View details for the LFM3-1.7B model.

LFM3-1.7BPreview

Compact 1.7B hybrid language model from Liquid AI built for on-device deployment.

View details for the LFM3-VL-2B model.

LFM3-VL-2BPreview

Compact 2B vision-language model from Liquid AI built for on-device deployment.

View details for the Intern3.5-VL-2B model.

Intern3.5-VL-2B

Multimodal 2B vision-language model for text and image understanding.

View details for the Intern3.5-VL-4B model.

Intern3.5-VL-4B

Multimodal 4B vision-language model for text and image understanding.

View details for the Qwen2.5-VL-7B-Instruct model.

Qwen2.5-VL-7B-Instruct

State-of-the-art vision-language model capable of understanding images and generating text responses.

View details for the Qwen3-0.6B model.

Qwen3-0.6B

State-of-the-art large language model useful on a variety of language understanding and generation tasks.

View details for the Qwen3-1.7B model.

Qwen3-1.7B

Multilingual 1.7B parameter language model excelling in reasoning and code generation.

View details for the Qwen3-4B model.

Qwen3-4B

State-of-the-art large language model useful on a variety of language understanding and generation tasks.

View details for the Qwen3-4B-Instruct-2507 model.

Qwen3-4B-Instruct-2507

State-of-the-art large language model with instruct-only training, useful on a variety of language understanding and generation tasks.

View details for the Qwen3-8B model.

Qwen3-8B

State-of-the-art large language model useful on a variety of language understanding and generation tasks.

View details for the Qwen3-VL-4B-Instruct model.

Qwen3-VL-4B-Instruct

Multimodal 4B vision-language model with enhanced visual reasoning capabilities.

View details for the Qwen3-VL-8B-Instruct model.

Qwen3-VL-8B-Instruct

Multimodal 8B vision-language model with enhanced visual reasoning capabilities.