XUCHEN

MambaQuant: Quantizing the Mamba Family with Variance Aligned Rotation Methods

OSTQuant: Refining Large Language Model Quantization with Orthogonal and Scaling Transformations for Better Distribution Fitting

MoEQuant: Enhancing Quantization for Mixture-of-Experts Large Language Models via Expert-Balanced Sampling and Affinity Guidance

MQuant: Unleashing the Inference Potential of Multimodal Large Language Models via Full Static Quantization

RWKVQuant: Quantizing the RWKV Family with Proxy Guided Hybrid of Scalar and Vector Quantization

I-LLM: Efficient Integer-Only Inference for Fully-Quantized Low-Bit Large Language Models