Reddit weighs a neglected MoE size class around 2B active parameters
WhoRoger · reddit · 2026-07-23
A Reddit post compares a cluster of MoE models in the middle ground around 2B active parameters and asks whether anyone actually uses this size class in practice.
The author lists examples including LFM2 24B A2B, Mellum 2 12B A2.5B, Moondream 3.1 9B A2B, VAETKI 20B A2B, DeepSeek V2 Lite 16B A2.4B, Ring/Ling Mini 16B A1.4B, and several NVIDIA Nemotron fine-tunes. The argument is that this range may be attractive for CPU use or pairing with low-end GPUs, and might offer a more dramatic capability jump than dense 4B–9B models.
The attached image highlights LFM2-24B-A2B and reinforces the deployment-cost angle.
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