In the news
Deploy local agents everywhere with LFM2.5-2.6B
Hugging Face · Published · 3 min read
In 30 seconds
- What happened
- 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.
- Why it matters
- Developers building on-device applications need efficient agentic models that avoid cloud inference costs while keeping user data private on personal hardware.
- Watch out
- 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.
- agent
- lfm
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