Repository: localaiLicense: lfm1.0

LFM2‑VL is Liquid AI's first series of multimodal models, designed to process text and images with variable resolutions. Built on the LFM2 backbone, it is optimized for low-latency and edge AI applications. We're releasing the weights of two post-trained checkpoints with 450M (for highly constrained devices) and 1.6B (more capable yet still lightweight) parameters. 2× faster inference speed on GPUs compared to existing VLMs while maintaining competitive accuracy Flexible architecture with user-tunable speed-quality tradeoffs at inference time Native resolution processing up to 512×512 with intelligent patch-based handling for larger images, avoiding upscaling and distortion
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Repository: localaiLicense: lfm1.0
LFM2.5-VL-1.6B is Liquid AI's compact vision-language model for edge deployment. It improves instruction following, multilingual vision understanding, OCR, high-resolution images, and multi-image input over LFM2-VL-1.6B. This default entry uses the official Q4_K_M GGUF with the F16 vision projector. License: LFM Open License 1.0.
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LFM2.5-VL-1.6B in the higher-fidelity Q8_0 GGUF format with the F16 vision projector. License: LFM Open License 1.0.
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