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LFM2.5 Q4\_0 Checkpoints from Quantization-Aware Distillation

AI 摘要

Liquid AI has released new QAD Q4_0 GGUFs, which are updated 4-bit checkpoints for LFM2.5-230M, LFM2.5-350M, LFM2.5-1.2B-Instruct, and LFM2.5-2.6B models. These allow developers to run LFM2.5 models at Q4_0 memory and speed without the typical quality degradation. The QAD Q4_0 checkpoints were compared against post-training quantization (PTQ) GGUFs across benchmarks like GPQA Diamond, MMLU-Pro, IFEval, IFBench, Multi-IF, BFCLv4, GSM8K, and AIME25.

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收录当时偏移:UTC+02026年8月19日 14:00 UTC

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2026年8月19日 14:00
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