Deploy local agents everywhere with LFM2.5-2.6B

LFM2.5-2.6B is an advanced AI model designed for efficient on-device deployment, enabling developers to create versatile agents capable of handling complex tasks without relying on cloud infrastructure. Built by LiquidAI, the model supports tool calling and multi-step workflows, maintaining competitive performance with larger models in various areas such as instruction following, tool use, and agentic tasks, while also achieving high inference speeds on both CPUs and GPUs. Its development involved a comprehensive training process that included supervised fine-tuning, teacher specialization, multi-domain on-policy distillation, and agentic reinforcement learning, allowing it to operate effectively across different environments and tasks. With its small size and high efficiency, LFM2.5-2.6B is especially suitable for applications that require privacy and scalability, offering a cost-effective solution by minimizing cloud inference expenses. Available on platforms like Hugging Face, it allows users to run capable agents on everyday hardware, from laptops to mobile devices, making it a versatile tool for high-volume workloads.

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