Unverified50% confidenceFactExact time
LFM2.5-24B-A2B has a total parameter count of 24B, with activated parameters at roughly the 2B level.
1
Sources
50%
Confidence
Medium-term (~90 days)
Relevance
10/15/2026
First Seen
Valid until: 1/13/2027
Sources
Related Entities
Related Claims
UnverifiedLiquid AI's LFM2.5-24B-A2B is a mixture-of-experts (MoE) model with 24B total parameters and only 2.45B activated per token.76% similarUnverifiedIn the LFM2.5 series, text models besides 24B also include 230M, 350M, 1.2B (including Instruct, Thinking, and JP versions), 2.6B, and 8B-A1B MoE; 24B is the only model that enters the 30B-class MoE race.74% similarUnverifiedQwen3-235B-A22B adopts a MoE architecture, activating only 22B out of 235B total parameters at a time.68% similarVerifiedModels with 32B parameters can typically be compressed to approximately 16–20 GB of VRAM usage after quantization, and can be run on a single NVIDIA RTX 4090 (24 GB VRAM).68% similarUnverifiedA 2.4-trillion-parameter model requires approximately 9.6 TB of VRAM in FP32, about 4.8 TB in BF16, about 2.4 TB in INT8, and about 1.2 TB in INT4.66% similar
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