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wenhua cheng

wenhuach

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wenhuach21

AI & ML interests

Model Compression, CV

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authored a paper 1 day ago

SignRoundV2: Closing the Performance Gap in Extremely Low-Bit Post-Training Quantization for LLMs

reacted to their post with 🔥 1 day ago

🚀 SignRoundV2 for LLM quantization: PTQ-level cost, QAT-level accuracy — yes, even at 2 bits. https://huggingface.co/papers/2512.04746

posted an update 1 day ago

🚀 SignRoundV2 for LLM quantization: PTQ-level cost, QAT-level accuracy — yes, even at 2 bits. https://huggingface.co/papers/2512.04746

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🚀 SignRoundV2 for LLM quantization: PTQ-level cost, QAT-level accuracy — yes, even at 2 bits.

SignRoundV2: Closing the Performance Gap in Extremely Low-Bit Post-Training Quantization for LLMs (2512.04746)

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Introducing AutoRound: Intel’s Advanced Quantization for LLMs and VLMs

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arxiv:2512.04746

arxiv:2310.10944

arxiv:2309.05516

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