Aaronhuang-778 / SliM-LLM
SliM-LLM: Salience-Driven Mixed-Precision Quantization for Large Language Models
☆28Updated 7 months ago
Alternatives and similar repositories for SliM-LLM:
Users that are interested in SliM-LLM are comparing it to the libraries listed below
- Activation-aware Singular Value Decomposition for Compressing Large Language Models☆59Updated 5 months ago
- An algorithm for weight-activation quantization (W4A4, W4A8) of LLMs, supporting both static and dynamic quantization☆121Updated last month
- [ICML 2024 Oral] Any-Precision LLM: Low-Cost Deployment of Multiple, Different-Sized LLMs☆99Updated 3 months ago
- ☆39Updated 8 months ago
- [EMNLP 2024] RoLoRA: Fine-tuning Rotated Outlier-free LLMs for Effective Weight-Activation Quantization☆33Updated 6 months ago
- AFPQ code implementation☆20Updated last year
- LLM Inference with Microscaling Format☆20Updated 4 months ago
- Official Pytorch Implementation of "Outlier Weighed Layerwise Sparsity (OWL): A Missing Secret Sauce for Pruning LLMs to High Sparsity"☆59Updated 8 months ago
- Code for the AAAI 2024 Oral paper "OWQ: Outlier-Aware Weight Quantization for Efficient Fine-Tuning and Inference of Large Language Model…☆58Updated last year
- ☆19Updated 4 months ago
- Pytorch implementation of our paper accepted by ICML 2024 -- CaM: Cache Merging for Memory-efficient LLMs Inference☆35Updated 9 months ago
- ☆19Updated last month
- [ICML 2024 Oral] This project is the official implementation of our Accurate LoRA-Finetuning Quantization of LLMs via Information Retenti…☆63Updated 11 months ago
- ShiftAddLLM: Accelerating Pretrained LLMs via Post-Training Multiplication-Less Reparameterization☆104Updated 5 months ago
- This repo contains the source code for: Model Tells You What to Discard: Adaptive KV Cache Compression for LLMs☆34Updated 7 months ago
- Pruner-Zero: Evolving Symbolic Pruning Metric from scratch for LLMs☆80Updated 4 months ago
- GEAR: An Efficient KV Cache Compression Recipefor Near-Lossless Generative Inference of LLM☆157Updated 8 months ago
- ☆46Updated last week
- [ICLR 2024] Jaiswal, A., Gan, Z., Du, X., Zhang, B., Wang, Z., & Yang, Y. Compressing llms: The truth is rarely pure and never simple.☆21Updated last year
- Official implementation of the EMNLP23 paper: Outlier Suppression+: Accurate quantization of large language models by equivalent and opti…☆47Updated last year
- ☆24Updated 4 months ago
- ☆65Updated 2 months ago
- QAQ: Quality Adaptive Quantization for LLM KV Cache☆47Updated 11 months ago
- This repository contains the training code of ParetoQ introduced in our work "ParetoQ Scaling Laws in Extremely Low-bit LLM Quantization"☆37Updated 3 weeks ago
- XAttention: Block Sparse Attention with Antidiagonal Scoring☆102Updated this week
- Official code for the paper "Examining Post-Training Quantization for Mixture-of-Experts: A Benchmark"☆13Updated 8 months ago
- Code Repository of Evaluating Quantized Large Language Models☆119Updated 6 months ago
- [ICLR2025]: OSTQuant: Refining Large Language Model Quantization with Orthogonal and Scaling Transformations for Better Distribution Fitt…☆31Updated 2 months ago
- The code repository of "MBQ: Modality-Balanced Quantization for Large Vision-Language Models"☆35Updated last week
- [ICLR 2025] TidalDecode: A Fast and Accurate LLM Decoding with Position Persistent Sparse Attention☆30Updated 3 weeks ago