🏆 #5,160 overall#1071 of 1,375 in Language Models

thu-nics /MoA

[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
GitHub social preview for thu-nics/MoA
Stars
163
163
This week
—
Forks
9
9
Language
Python
License
MIT
Created
Jun 19, 2024
2.4 years old
Last push
Oct 9, 2026

Categories

GitHub topics

More in Language Models

Language Models

SqueezeAILab/SqueezeLLM

[ICML 2024] SqueezeLLM: Dense-and-Sparse Quantization

🧠 Natural Language Processing
PythonMITupdated Aug 13, 2024
GitHub ↗★ 724⑂ 54
Language Models

SqueezeAILab/KVQuant

[NeurIPS 2024] KVQuant: Towards 10 Million Context Length LLM Inference with KV Cache Quantization

🧠 Natural Language Processing
Pythonno licenseupdated Aug 13, 2024
GitHub ↗★ 437⑂ 49
Language Models

CASE-Lab-UMD/LLM-Drop

The official implementation of the paper "Uncovering the Redundancy in Transformers via a Unified Study of Layer Dropping (TMLR)".

🧠 Natural Language Processing
PythonApache-2.0updated Oct 2, 2026
GitHub ↗★ 193⑂ 23
Language Models

ByteDance-Seed/FlexPrefill

Code for paper: [ICLR2025 Oral] FlexPrefill: A Context-Aware Sparse Attention Mechanism for Efficient Long-Sequence Inference

🧠 Natural Language Processing
PythonApache-2.0updated Oct 13, 2025
GitHub ↗★ 172⑂ 11

Data from GitHub · snapshot Nov 13, 2026