Aaronhuang-778 / Mixture-Compressor-MoELinks
[ICLR 2025] Mixture Compressor for Mixture-of-Experts LLMs Gains More
☆50Updated 7 months ago
Alternatives and similar repositories for Mixture-Compressor-MoE
Users that are interested in Mixture-Compressor-MoE are comparing it to the libraries listed below
Sorting:
- The code repository of "MBQ: Modality-Balanced Quantization for Large Vision-Language Models"☆55Updated 6 months ago
- [NeurIPS 2024] The official implementation of ZipCache: Accurate and Efficient KV Cache Quantization with Salient Token Identification☆25Updated 5 months ago
- [ICML 2025] XAttention: Block Sparse Attention with Antidiagonal Scoring☆226Updated 2 months ago
- [ICML 2025] SparseLoRA: Accelerating LLM Fine-Tuning with Contextual Sparsity☆55Updated 2 months ago
- ☆96Updated 3 months ago
- Official code implementation for 2025 ICLR accepted paper "Dobi-SVD : Differentiable SVD for LLM Compression and Some New Perspectives"☆39Updated 5 months ago
- [NeurIPS 2024 Oral🔥] DuQuant: Distributing Outliers via Dual Transformation Makes Stronger Quantized LLMs.☆165Updated 11 months ago
- [ICLR 2024] This is the official PyTorch implementation of "QLLM: Accurate and Efficient Low-Bitwidth Quantization for Large Language Mod…☆39Updated last year
- Official PyTorch implementation of the paper "dLLM-Cache: Accelerating Diffusion Large Language Models with Adaptive Caching" (dLLM-Cache…☆148Updated last week
- A Survey of Efficient Attention Methods: Hardware-efficient, Sparse, Compact, and Linear Attention☆178Updated 3 weeks ago
- torch_quantizer is a out-of-box quantization tool for PyTorch models on CUDA backend, specially optimized for Diffusion Models.☆23Updated last year
- A sparse attention kernel supporting mix sparse patterns☆296Updated 7 months ago
- [CoLM'25] The official implementation of the paper <MoA: Mixture of Sparse Attention for Automatic Large Language Model Compression>☆146Updated 2 months ago
- [ICLR'25] ViDiT-Q: Efficient and Accurate Quantization of Diffusion Transformers for Image and Video Generation☆118Updated 5 months ago
- [ICML 2024 Oral] This project is the official implementation of our Accurate LoRA-Finetuning Quantization of LLMs via Information Retenti…☆67Updated last year
- The official code implementation for paper "R2R: Efficiently Navigating Divergent Reasoning Paths with Small-Large Model Token Routing"☆45Updated last week
- [NeurIPS'24]Efficient and accurate memory saving method towards W4A4 large multi-modal models.☆79Updated 8 months ago
- ☆14Updated 5 months ago
- [ICML24] Pruner-Zero: Evolving Symbolic Pruning Metric from scratch for LLMs☆92Updated 9 months ago
- An algorithm for weight-activation quantization (W4A4, W4A8) of LLMs, supporting both static and dynamic quantization☆148Updated 3 months ago
- ☆45Updated 10 months ago
- [COLM 2025] Official PyTorch implementation of "Quantization Hurts Reasoning? An Empirical Study on Quantized Reasoning Models"☆51Updated 2 months ago
- PyTorch implementation of PTQ4DiT https://arxiv.org/abs/2405.16005☆33Updated 10 months ago
- [ICML 2025 Oral] Mixture of Lookup Experts☆51Updated 4 months ago
- [COLM 2025] DFRot: Achieving Outlier-Free and Massive Activation-Free for Rotated LLMs with Refined Rotation; 知乎：https://zhuanlan.zhihu.c…☆26Updated 6 months ago
- Activation-aware Singular Value Decomposition for Compressing Large Language Models☆78Updated 10 months ago
- [ICLR 2025] COAT: Compressing Optimizer States and Activation for Memory-Efficient FP8 Training☆239Updated last month
- D^2-MoE: Delta Decompression for MoE-based LLMs Compression☆65Updated 5 months ago
- ☆57Updated 2 months ago
- ☆10Updated last year