Liquid AI has released new checkpoints for its LFM2.5 models, utilizing Quantization-Aware Distillation (QAD) to improve performance. These QAD Q4_0 checkpoints maintain the low memory footprint and high throughput of standard Q4_0 GGUFs while recovering approximately 97% of the accuracy lost during quantization. Benchmarks show these new checkpoints match or exceed the quality of other quantization methods, such as Q5_K_M and Unsloth's UD-Q4_K_XL, with improved decode throughput on various edge hardware. AI
IMPACT Improves efficiency and accuracy of models on edge devices, enabling wider deployment.
RANK_REASON Release of new model checkpoints with performance benchmarks and technical details.
- Hugging Face
- LFM2.5 Q4_0
- LiquidAI
- Quantization-Aware Distillation
- Liquid AI
- Q5_K_M
- QAD Q4_0
- UD-Q4_K_XL
- Unsloth
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