Ollama shares LFM2.5-24B-A2B release and local run command

What happened

Ollama shares the command `ollama run lfm2.5:24b`, quoting Liquid AI’s release of LFM2.5-24B-A2B for local agent tasks on laptops and PCs. Liquid AI describes a reasoning model with 24B total parameters, 2B active per token, and a context expanded to 131K tokens, with open base and post-trained weights on Hugging Face. https://ollama.com/library/lfm2.5:24b https://twitter.com/liquidai/status/2110055807194931348

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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