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Developers can now use smaller, faster versions of LFM2.5 for production inference without retraining, and organizations evaluating model deployment costs will find more efficient options for their infrastructure.
HuggingFace has released LFM2.5 Q4_0 quantized checkpoints produced through quantization-aware distillation. This technique reduces model size and computational requirements while maintaining performance, enabling more efficient deployment of the LFM2.5 model.
Read the full article at HuggingFace
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