Liquid AI has released LFM2.5-2.6B, a compact language model designed for local AI applications. Despite its small size of 2.69 billion parameters, the model boasts a 128K context window and supports tool calling, making it suitable for multi-step agent workflows. Initial benchmarks suggest competitive performance against larger models like Qwen3.5-9B in specific tasks, though coding and knowledge-intensive work remain areas for improvement. The model's efficiency is highlighted by its reported speeds, including 30 tokens/second on a mobile phone and under 2.5 GB memory usage, indicating its potential for on-device AI operations. AI
IMPACT Enables more capable on-device AI applications and efficient local agent workflows.
RANK_REASON Release of a specific model with performance metrics, but not from a tier-1 frontier lab.
- 128K context
- 2.6B model
- LFM2.5-2.6B
- Liquid AI
- M5 Max
- mobile phone
- Qwen3.5-9B
- Ryzen AI Max+ 395
- tool calling
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