LFM2 24B A2B
PulseAugur coverage of LFM2 24B A2B — every cluster mentioning LFM2 24B A2B across labs, papers, and developer communities, ranked by signal.
1 day(s) with sentiment data
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LiquidAI releases LFM2.5-24B-A2B for efficient on-device AI agents
LiquidAI has released LFM2.5-24B-A2B, a new reasoning-focused language model designed for efficient on-device agent deployment. Despite having fewer parameters than competitors like Qwen3.6-35B-A3B, it demonstrates comp…
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MoE models with 2B active parameters explored for resource-constrained systems
The discussion on r/LocalLLaMA explores the niche of Mixture-of-Experts (MoE) models with approximately 2 billion active parameters. While smaller MoE models with 1 billion active parameters and larger ones with 3 billi…
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Liquid AI releases LFM2-24B-A2B, an efficient 24B parameter MoE model
Liquid AI has released an early checkpoint of its LFM2-24B-A2B model, a sparse Mixture of Experts (MoE) architecture with 24 billion total parameters and 2 billion active parameters per token. This model demonstrates th…