[EMNLP 2024] RoLoRA: Fine-tuning Rotated Outlier-free LLMs for Effective Weight-Activation Quantization
☆38Sep 24, 2024Updated last year
Alternatives and similar repositories for RoLoRA
Users that are interested in RoLoRA are comparing it to the libraries listed below
Sorting:
- The official implementation of the DAC 2024 paper GQA-LUT☆20Dec 20, 2024Updated last year
- ☆25Oct 31, 2024Updated last year
- [ICML 2024 Oral] This project is the official implementation of our Accurate LoRA-Finetuning Quantization of LLMs via Information Retenti…☆67Apr 15, 2024Updated last year
- [ICML 2025] SparseLoRA: Accelerating LLM Fine-Tuning with Contextual Sparsity☆71Jul 5, 2025Updated 8 months ago
- AFPQ code implementation☆23Nov 6, 2023Updated 2 years ago
- An algorithm for weight-activation quantization (W4A4, W4A8) of LLMs, supporting both static and dynamic quantization☆172Nov 26, 2025Updated 3 months ago
- Codebase for ICML'24 paper: Learning from Students: Applying t-Distributions to Explore Accurate and Efficient Formats for LLMs☆27Jun 25, 2024Updated last year
- Code implementation of GPTAQ (https://arxiv.org/abs/2504.02692)☆83Jul 28, 2025Updated 7 months ago
- [TMLR] Official PyTorch implementation of paper "Quantization Variation: A New Perspective on Training Transformers with Low-Bit Precisio…☆48Sep 27, 2024Updated last year
- Code repo for the paper "SpinQuant LLM quantization with learned rotations"☆374Feb 14, 2025Updated last year
- (NeurIPS 2024) BiDM: Pushing the Limit of Quantization for Diffusion Models☆22Nov 20, 2024Updated last year
- The official implementation of the EMNLP 2023 paper LLM-FP4☆222Dec 15, 2023Updated 2 years ago
- ☆235Jun 11, 2024Updated last year
- [COLM 2025] DFRot: Achieving Outlier-Free and Massive Activation-Free for Rotated LLMs with Refined Rotation; 知乎：https://zhuanlan.zhihu.c…☆29Mar 5, 2025Updated last year
- Work in progress.☆79Nov 25, 2025Updated 3 months ago
- (ICLR 2025) BinaryDM: Accurate Weight Binarization for Efficient Diffusion Models☆26Oct 4, 2024Updated last year
- [ICML 2025] Official PyTorch implementation of "FlatQuant: Flatness Matters for LLM Quantization"☆210Nov 25, 2025Updated 3 months ago
- [ICML 2025] SliM-LLM: Salience-Driven Mixed-Precision Quantization for Large Language Models☆53Aug 9, 2024Updated last year
- [ICLR 2026] SparseD: Sparse Attention for Diffusion Language Models☆59Feb 22, 2026Updated 2 weeks ago
- Residual vector quantization for KV cache compression in large language model☆11Oct 22, 2024Updated last year
- ☆13Jun 22, 2025Updated 8 months ago
- ☆15Jan 12, 2026Updated last month
- ☆14May 21, 2024Updated last year
- Quantized Side Tuning: Fast and Memory-Efficient Tuning of Quantized Large Language Models☆49Nov 5, 2024Updated last year
- 🎓Automatically Update circult-eda-mlsys-tinyml Papers Daily using Github Actions (Update Every 8th hours)☆10Updated this week
- PyTorch code for our paper "Progressive Binarization with Semi-Structured Pruning for LLMs"☆13Sep 28, 2025Updated 5 months ago
- [ACL 2024 Findings] Light-PEFT: Lightening Parameter-Efficient Fine-Tuning via Early Pruning☆13Sep 2, 2024Updated last year
- [COLM 2025] Official PyTorch implementation of "Quantization Hurts Reasoning? An Empirical Study on Quantized Reasoning Models"☆71Jul 8, 2025Updated 8 months ago
- ☆21Oct 22, 2025Updated 4 months ago
- Code for studying the super weight in LLM☆122Dec 3, 2024Updated last year
- KV cache compression via sparse coding☆17Oct 26, 2025Updated 4 months ago
- Official implementation of the paper: "A deeper look at depth pruning of LLMs"☆15Jul 24, 2024Updated last year
- ☆15Nov 7, 2024Updated last year
- Official implementation of the ICLR 2024 paper AffineQuant☆28Mar 30, 2024Updated last year
- Official PyTorch implementation of "GuidedQuant: Large Language Model Quantization via Exploiting End Loss Guidance" (ICML 2025)☆50Jul 6, 2025Updated 8 months ago
- [TMLR] Official PyTorch implementation of paper "Efficient Quantization-aware Training with Adaptive Coreset Selection"☆37Aug 20, 2024Updated last year
- (ICCV 2023) Official implementation of Rectified Straight Through Estimator (ReSTE).☆31Sep 20, 2024Updated last year
- [ICML 2024] When Linear Attention Meets Autoregressive Decoding: Towards More Effective and Efficient Linearized Large Language Models☆35Jun 12, 2024Updated last year
- HALO: Hadamard-Assisted Low-Precision Optimization and Training method for finetuning LLMs. 🚀 The official implementation of https://arx…☆29Feb 17, 2025Updated last year