Ce qui s'est passé: Deploy local agents everywhere with LFM2.5-2.6B

Liquid AI released LFM2.5-2.6B, a 2.6 billion parameter model designed to run AI agents locally on devices like laptops and phones with tool calling and multi-step workflows.

Pourquoi ça compte: Deploy local agents everywhere with LFM2.5-2.6B

Developers building on-device applications need efficient agentic models that avoid cloud inference costs while keeping user data private on personal hardware.

Vigilance: Deploy local agents everywhere with LFM2.5-2.6B

The model excels at instruction following and tool use but lags larger models on coding tasks. Performance depends heavily on hardware; CPU speeds range from 30 tokens per second on phones to 220 on M5 Max.

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Deploy local agents everywhere with LFM2.5-2.6B

Hugging Face · Publié le 4 août 2026 · 3 min de lecture

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Ce qui s'est passé: Liquid AI released LFM2.5-2.6B, a 2.6 billion parameter model designed to run AI agents locally on devices like laptops and phones with tool calling and multi-step workflows.
Pourquoi ça compte: Developers building on-device applications need efficient agentic models that avoid cloud inference costs while keeping user data private on personal hardware.
Vigilance: The model excels at instruction following and tool use but lags larger models on coding tasks. Performance depends heavily on hardware; CPU speeds range from 30 tokens per second on phones to 220 on M5 Max.

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