Liquid AI Releases QAD Q4_0 Checkpoints for LFM2.5 Models
Liquid AI released QAD Q4_0 GGUF checkpoints for LFM2.5-230M, 350M, 1.2B-Instruct, and 2.6B models. Trained via quantization-aware distillation, they recover 97% of BF16 accuracy lost to quantization while maintaining Q4_0 memory and speed. Benchmarks show improved quality over post-training quantization, matching higher-bit formats on edge hardware.
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