Liquid AI releases LFM2.5-24B-A2B for fast, private on-device agents

What happened

Liquid AI released LFM2.5-24B-A2B, an open-weight reasoning model with 24B total parameters and 2B active parameters, for on-device agents that reason and call tools. Its context window expands from 32K to 131K tokens, and both the reasoning and Base versions are available on Hugging Face. Liquid AI reports 184 tokens/s on an Apple M5 Max and competitive tool-use results, while acknowledging that larger models retain advantages on knowledge-heavy and coding benchmarks.

The story so far

Liquid AI released LFM2.5-24B-A2B for on-device reasoning and tool use, with reasoning and Base weights available on Hugging Face and the model now available through Ollama. Ollama shared the command `ollama run lfm2.5:24b` to run it locally on laptops and PCs. The model has 24 billion total parameters, with 2 billion active per token, and expands the context window from 32K to 131K tokens. Liquid AI reports generation speeds of 184 tokens per second on an Apple M5 Max and competitive tool-use results, while acknowledging that larger models retain advantages on knowledge-heavy and coding benchmarks.

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