LFM2 700M

Liquid AI edge model outperforming Gemma 3 1B IT at just 700M parameters

Model Specifications

ArchitectureTEXT

Parameters0.7B

Familylfm

VRAM (Q4)0.3GB

#liquid#edge#efficient#hybridSource

Format	Precision	Est. VRAM	Recommendation
FP16 / BF16	16-bit	1.4 GB	Uncompressed Base
Q8_0High	8-bit	0.7 GB	Near Lossless
Q6_K	6-bit	0.5 GB	Excellent Balance
Q4_K_MPopular	4-bit	0.3 GB	Standard Use

Send this model's specs directly to your community.

Liquid Foundation Model 2 - efficient continuous learning

Liquid AI's fastest on-device hybrid model, 3x faster training than previous gen, optimized for CPU/NPU

Liquid AI on-device model rivaling Qwen3-1.7B at 47% fewer parameters, CPU/NPU friendly

A complete breakdown of quantization levels and VRAM overhead for running local models.

Comparing NVIDIA and AMD options for the best speed-to-dollar ratio.

Understanding local AI formats and which one to pick for your specific hardware.