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Knowledge Quiz

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1.What is the primary motivation behind the development of TernaryLM?

2.What is the effective precision of TernaryLM's native quantization scheme?

3.How does TernaryLM differ from post-training quantization approaches?

4.What memory reduction does TernaryLM achieve compared to an FP32 model of identical architecture?