Language Models
SqueezeAILab/SqueezeLLM
[ICML 2024] SqueezeLLM: Dense-and-Sparse Quantization
🧠 Natural Language Processing
PythonMITupdated Aug 13, 2024
[CoLM'25] The official implementation of the paper <MoA: Mixture of Sparse Attention for Automatic Large Language Model Compression>
$ git clone https://github.com/thu-nics/MoA.git[ICML 2024] SqueezeLLM: Dense-and-Sparse Quantization
[NeurIPS 2024] KVQuant: Towards 10 Million Context Length LLM Inference with KV Cache Quantization
[ICLR 2025🔥] SVD-LLM & [NAACL 2025🔥] SVD-LLM V2
Efficient triton implementation of Native Sparse Attention.
The official implementation of the paper "Uncovering the Redundancy in Transformers via a Unified Study of Layer Dropping (TMLR)".
Code for paper: [ICLR2025 Oral] FlexPrefill: A Context-Aware Sparse Attention Mechanism for Efficient Long-Sequence Inference
Data from GitHub · snapshot Nov 13, 2026