ollama run lfm2.5:24b
Liquid AI releases LFM2.5-24B-A2B, a local model for agentic tasks
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Ollama announces that Liquid AI has released LFM2.5-24B-A2B, the largest model in the LFM2.5 family, and that it can be run locally with ollama run lfm2.5:24b.
Liquid AI says the model has 24B total parameters, 2B active per token, a 131K-token context window, and 33T pretraining tokens.
It says the model performs competitively with Qwen3.6-35B-A3B on agentic and tool-use tasks despite having fewer total and active parameters.
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Today we release 𝙻𝙵𝙼𝟸.𝟻-𝟸𝟺𝙱-𝙰𝟸𝙱, the largest 𝙻𝙵𝙼𝟸.𝟻 family member. It is an efficient local model for laptops and PCs to work through multi-step tasks inside popular agent harnesses. > 24B total parameters, 2B active per token > Context expanded to 131K tokens > A 128K-token vocabulary > 33T pretraining tokens > It is a reasoning model > Very easy to fine-tune and customize > Performs competitively with Qwen3.6-35B-A3B, a model with ~50% more total and active parameters, on agentic and tool-use tasks. > Open base and post-trained weights on @huggingface 🤗 1/
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Source: ollama · x.comPublished · added here