LFM2.5-8B-A1B is an edge model designed for efficient tool calling on consumer hardware, featuring a 128K context window and expanded pretraining from 12 trillion to 38 trillion tokens. The model's vocabulary has been doubled to enhance tokenization for non-Latin languages, enabling it to perform complex tasks on entry-level laptops.
liquid.ai
6 min
5d ago
LFM2.5-8B-A1B is an edge model designed for efficient tool calling on consumer hardware, featuring a 128K context window and expanded pretraining from 12 trillion to 38 trillion tokens. The model's vocabulary has been doubled to enhance tokenization for non-Latin languages, enabling it to perform complex tasks on entry-level laptops.
liquid.ai
6 min
5d ago
LFM2.5-8B-A1B is an edge model designed for efficient tool calling on consumer hardware, featuring a 128K context window and expanded pretraining from 12 trillion to 38 trillion tokens. The model's vocabulary has been doubled to enhance tokenization for non-Latin languages, enabling it to perform complex tasks on entry-level laptops.
liquid.ai
6 min
5d ago
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