LFM2.5-Encoder-350M-PII-Detector
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View details ↗LFM2.5-Encoder-350M-Spellchecker
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View details ↗LFM2.5-VL-1.6B-Extract-GGUF
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View details ↗LFM2.5-VL-1.6B-GGUF
LiquidAIFind more details in the original model card: https://huggingface.co/LiquidAI/LFM2.5-VL-1.6B Then you can type `/image ` to add an image to the chat, then ask `What is in the image?` or any other question about the image. - Got questions or want to connect? Join our Discord community - If you are interested in custom solutions with edge deployment, please contact our sales team.
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View details ↗LFM2.5-VL-3B
LiquidAILFM2.5-VL-3B is a multimodal variant of LFM2.5, a family of hybrid models designed for **on-device deployment**. It builds on LFM2-VL-3B with further mid- and post-training. LFM2.5-VL-3B can process both text and images, and uses the LFM2.5-2.6B language model as its backbone, combined with a SigLIP2 NaFlex vision encoder. * **Better grounding**: Improved grounding and object detection with natural language queries. * **Better OCR**: Full page OCR with layout annotation. See layout annotation format for more information. * **Efficient inference**: 228 tok/s on an Apple M5 Max and 116 tok/s on an AMD Ryzen AI Max+ 395, in under 3.3 GB of memory. Find more information about LFM2.5-VL-3B in our release post.
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View details ↗LFM2.5-VL-3B-DSpark
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View details ↗LFM2.5-VL-3B-DSpark-GGUF
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View details ↗LFM2.5-VL-3B-GGUF
LiquidAILFM2.5 is a new generation of hybrid models developed by Liquid AI, specifically designed for edge AI and on-device deployment. It sets a new standard in terms of quality, speed, and memory efficiency. Find more details in the original model card: https://huggingface.co/LiquidAI/LFM2.5-VL-3B Then you can type `/image ` to add an image to the chat, then ask `What is in the image?` or any other question about the image.
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View details ↗LFM2.5-VL-3B-MLX-4bit
LiquidAILFM2.5-VL-3B is a vision-language model built on the LFM2.5-2.6B backbone with a SigLIP2 NaFlex vision encoder (400M). It supports OCR, document comprehension, multilingual vision understanding, bounding box prediction, and function calling.
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View details ↗LFM2.5-VL-3B-MLX-6bit
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View details ↗LFM2.5-VL-3B-MLX-8bit
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View details ↗LFM2.5-VL-3B-MLX-bf16
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View details ↗LFM2.5-VL-3B-ONNX
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View details ↗LFM2.5-VL-450M
LiquidAILFM2.5‑VL-450M is Liquid AI's refreshed version of the first vision-language model, LFM2-VL-450M, built on an updated backbone LFM2.5-350M and tuned for stronger real-world performance. Find more about LFM2.5 family of models in our blog post. * **Enhanced instruction following** on vision and language tasks. * **Improved multilingual vision understanding** in Arabic, Chinese, French, German, Japanese, Korean, Portuguese and Spanish. * **Bounding box prediction and object detection** for grounded visual understanding. * **Function calling support** for text-only input. 🎥⚡️ You can try LFM2.5-VL-450M running locally in your browser with our real-time video stream captioning WebGPU demo 🎥⚡️
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View details ↗LFM2.5-VL-450M-Extract
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View details ↗LFM2.5-VL-450M-Extract-GGUF
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View details ↗LFM2.5-VL-450M-GGUF
LiquidAILFM2.5-VL is a new generation of vision models developed by Liquid AI, specifically designed for edge AI and on-device deployment. It sets a new standard in terms of quality, speed, and memory efficiency. Find more details in the original model card: https://huggingface.co/LiquidAI/LFM2.5-VL-450M Then you can type `/image ` to add an image to the chat, then ask `What is in the image?` or any other question about the image.
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View details ↗LFM2.5-VL-450M-MLX-4bit
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View details ↗LFM2.5-VL-450M-MLX-8bit
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View details ↗LFM2.5-VL-450M-ONNX
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View details ↗LFM2-700M
LiquidAILFM2 is a new generation of hybrid models developed by Liquid AI, specifically designed for edge AI and on-device deployment. It sets a new standard in terms of quality, speed, and memory efficiency. We're releasing the weights of four post-trained checkpoints with 350M, 700M, 1.2B, and 2.6B parameters. They provide the following key features to create AI-powered edge applications: Due to their small size, **we recommend fine-tuning LFM2 models on narrow use cases** to maximize performance. They are particularly suited for agentic tasks, data extraction, RAG, creative writing, and multi-turn conversations. However, we do not recommend using them for tasks that are knowledge-intensive or require programming skills.
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View details ↗LFM2-700M-GGUF
LiquidAILFM2 is a new generation of hybrid models developed by Liquid AI, specifically designed for edge AI and on-device deployment. It sets a new standard in terms of quality, speed, and memory efficiency.
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View details ↗LFM2-8B-A1B-GGUF
LiquidAILFM2 is a new generation of hybrid models developed by Liquid AI, specifically designed for edge AI and on-device deployment. It sets a new standard in terms of quality, speed, and memory efficiency. We're releasing the weights of our first MoE based on LFM2, with 8.3B total parameters and 1.5B active parameters.
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