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LiquidAI/LFM2.5-VL-450M
Image-Text-to-Text β’ 0.4B β’ Updated β’ 16.5k β’ 152 -
LFM2.5-VL-450M WebGPU
πΉ34Live video captioning and object tracking in your browser
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LiquidAI/LFM2.5-VL-1.6B
Image-Text-to-Text β’ 2B β’ Updated β’ 133k β’ 273 -
LFM2.5-VL-1.6B WebGPU
π§87In-browser vision-language inference with LFM2.5-VL-1.6B
AI & ML interests
A new generation of foundation models from first principles.
Library of task-specific models: https://www.liquid.ai/blog/introducing-liquid-nanos-frontier-grade-performance-on-everyday-devices
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LiquidAI/LFM2-1.2B-Extract
Text Generation β’ 1B β’ Updated β’ 1.57k β’ 107 -
LiquidAI/LFM2-350M-Extract
Text Generation β’ 0.4B β’ Updated β’ 1.35k β’ 78 -
LiquidAI/LFM2-350M-ENJP-MT
Translation β’ 0.4B β’ Updated β’ 1.08k β’ 87 -
LiquidAI/LFM2-1.2B-RAG
Text Generation β’ 1B β’ Updated β’ 811 β’ 118
End-to-end audio foundation model, designed for low latency and real-time conversations
Collection of post-trained and base LFM2.5 models.
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LiquidAI/LFM2.5-350M
Text Generation β’ 0.4B β’ Updated β’ 42.8k β’ 276 -
LiquidAI/LFM2.5-1.2B-Thinking
Text Generation β’ 1B β’ Updated β’ 33.2k β’ 328 -
LiquidAI/LFM2.5-1.2B-Instruct
Text Generation β’ 1B β’ Updated β’ 341k β’ 568 -
LiquidAI/LFM2.5-1.2B-JP
Text Generation β’ 1B β’ Updated β’ 2.35k β’ 143
LFM2 is a new generation of hybrid models, designed for on-device deployment.
LFM2-VL is our first series of vision-language models, designed for on-device deployment.
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LiquidAI/LFM2-VL-3B
Image-Text-to-Text β’ 3B β’ Updated β’ 12.1k β’ 133 -
LiquidAI/LFM2-VL-1.6B
Image-Text-to-Text β’ 2B β’ Updated β’ 4.46k β’ 226 -
LiquidAI/LFM2-VL-450M
Image-Text-to-Text β’ 0.5B β’ Updated β’ 25.6k β’ 146 -
LiquidAI/LFM2-VL-3B-GGUF
Image-Text-to-Text β’ 3B β’ Updated β’ 73.5k β’ 35
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LiquidAI/LFM2.5-VL-450M
Image-Text-to-Text β’ 0.4B β’ Updated β’ 16.5k β’ 152 -
LFM2.5-VL-450M WebGPU
πΉ34Live video captioning and object tracking in your browser
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LiquidAI/LFM2.5-VL-1.6B
Image-Text-to-Text β’ 2B β’ Updated β’ 133k β’ 273 -
LFM2.5-VL-1.6B WebGPU
π§87In-browser vision-language inference with LFM2.5-VL-1.6B
Collection of post-trained and base LFM2.5 models.
-
LiquidAI/LFM2.5-350M
Text Generation β’ 0.4B β’ Updated β’ 42.8k β’ 276 -
LiquidAI/LFM2.5-1.2B-Thinking
Text Generation β’ 1B β’ Updated β’ 33.2k β’ 328 -
LiquidAI/LFM2.5-1.2B-Instruct
Text Generation β’ 1B β’ Updated β’ 341k β’ 568 -
LiquidAI/LFM2.5-1.2B-JP
Text Generation β’ 1B β’ Updated β’ 2.35k β’ 143
LFM2 is a new generation of hybrid models, designed for on-device deployment.
Library of task-specific models: https://www.liquid.ai/blog/introducing-liquid-nanos-frontier-grade-performance-on-everyday-devices
-
LiquidAI/LFM2-1.2B-Extract
Text Generation β’ 1B β’ Updated β’ 1.57k β’ 107 -
LiquidAI/LFM2-350M-Extract
Text Generation β’ 0.4B β’ Updated β’ 1.35k β’ 78 -
LiquidAI/LFM2-350M-ENJP-MT
Translation β’ 0.4B β’ Updated β’ 1.08k β’ 87 -
LiquidAI/LFM2-1.2B-RAG
Text Generation β’ 1B β’ Updated β’ 811 β’ 118
LFM2-VL is our first series of vision-language models, designed for on-device deployment.
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LiquidAI/LFM2-VL-3B
Image-Text-to-Text β’ 3B β’ Updated β’ 12.1k β’ 133 -
LiquidAI/LFM2-VL-1.6B
Image-Text-to-Text β’ 2B β’ Updated β’ 4.46k β’ 226 -
LiquidAI/LFM2-VL-450M
Image-Text-to-Text β’ 0.5B β’ Updated β’ 25.6k β’ 146 -
LiquidAI/LFM2-VL-3B-GGUF
Image-Text-to-Text β’ 3B β’ Updated β’ 73.5k β’ 35
End-to-end audio foundation model, designed for low latency and real-time conversations