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Sponsored by
APIMart
LiquidAI / LFM2-24B-A2B-GGUF
Model's Last Updated: August 25 2026
text-generation
Introduction of LFM2-24B-A2B-GGUF
Model Details of LFM2-24B-A2B-GGUF
LFM2-24B-A2B-GGUF
LFM2 is a family of hybrid models designed for on-device deployment. LFM2-24B-A2B is the largest model in the family, scaling the architecture to 24 billion parameters while keeping inference efficient.
- Best-in-class efficiency : A 24B MoE model with only 2B active parameters per token, fitting in 32 GB of RAM for deployment on consumer laptops and desktops.
- Fast edge inference : 112 tok/s decode on AMD CPU, 293 tok/s on H100. Fits in 32B GB of RAM with day-one support llama.cpp, vLLM, and SGLang.
- Predictable scaling : Quality improves log-linearly from 350M to 24B total parameters, confirming the LFM2 hybrid architecture scales reliably across nearly two orders of magnitude.
Find more information about LFM2-24B-A2B in our blog post .
How to run LFM2
Example usage with llama.cpp :
llama-cli -hf LiquidAI/LFM2-24B-A2B-GGUF
Runs of LiquidAI LFM2-24B-A2B-GGUF on huggingface.co
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More Information About LFM2-24B-A2B-GGUF huggingface.co Model
Url of LFM2-24B-A2B-GGUF
LFM2-24B-A2B-GGUF huggingface.co Url
Provider of LFM2-24B-A2B-GGUF huggingface.co
Other API from LiquidAI
Updated:September 23 2026
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