LiquidAI Quantization Cuts VRAM by 70%, Doubles Speed
QuixiAI · x · 2026-08-20
LiquidAI's LFM model achieves massive efficiency gains with Q4 quantization: VRAM usage drops from 5.4GB to 1.6GB (70% reduction), inference speed triples from 21 to 64 tok/s, and tool-call latency halves from 3.0s to 1.2s, while retaining 97% of BF16 performance.
Related event: Liquid AI's QAD Delivers 4-bit Models Retaining 97% Performance(4 posts)→
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