Liquid AI Releases Open-Weight LFM2.5-24B-A2B, Now Available Through Ollama

1. 14:27
   Ollama · XPicks

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

   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

1. 01:05
   Hugging Face BlogPicks

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

   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.

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