Lna-Lab compresses 744B MoE model to 347GB using dynamic 3-bit quantization

Lna-Lab compressed a 744B MoE model to 347GB using dynamic 3-bit quantization, achieving 50% size reduction. This brings massive MoE models closer to consumer and prosumer hardware deployment. Practitioners exploring local inference of frontier-scale MoE architectures should benchmark accuracy-degradation tradeoffs against GPTQ and AWQ baselines.