kssteven418 / SqueezeLLM-gradientsLinks
☆21Updated last year
Alternatives and similar repositories for SqueezeLLM-gradients
Users that are interested in SqueezeLLM-gradients are comparing it to the libraries listed below
Sorting:
- An algorithm for weight-activation quantization (W4A4, W4A8) of LLMs, supporting both static and dynamic quantization☆172Updated last month
- Official Pytorch Implementation of "Outlier Weighed Layerwise Sparsity (OWL): A Missing Secret Sauce for Pruning LLMs to High Sparsity"☆78Updated 6 months ago
- ☆30Updated last year
- AFPQ code implementation☆23Updated 2 years ago
- Activation-aware Singular Value Decomposition for Compressing Large Language Models☆84Updated last year
- ☆31Updated last year
- Code for the AAAI 2024 Oral paper "OWQ: Outlier-Aware Weight Quantization for Efficient Fine-Tuning and Inference of Large Language Model…☆68Updated last year
- Code Repository of Evaluating Quantized Large Language Models☆136Updated last year
- LLM Inference with Microscaling Format☆34Updated last year
- This repository contains the training code of ParetoQ introduced in our work "ParetoQ Scaling Laws in Extremely Low-bit LLM Quantization"☆117Updated 3 months ago
- [ICML 2024 Oral] Any-Precision LLM: Low-Cost Deployment of Multiple, Different-Sized LLMs☆123Updated 6 months ago
- ☆24Updated last year
- ☆157Updated 11 months ago
- Code implementation of GPTAQ (https://arxiv.org/abs/2504.02692)☆80Updated 5 months ago
- [ICML 2024] KIVI: A Tuning-Free Asymmetric 2bit Quantization for KV Cache☆348Updated 2 months ago
- [ICML 2024] Official Implementation of SLEB: Streamlining LLMs through Redundancy Verification and Elimination of Transformer Blocks☆38Updated 11 months ago
- [EMNLP 2024] RoLoRA: Fine-tuning Rotated Outlier-free LLMs for Effective Weight-Activation Quantization☆38Updated last year
- [COLM 2025] Official PyTorch implementation of "Quantization Hurts Reasoning? An Empirical Study on Quantized Reasoning Models"☆65Updated 6 months ago
- GEAR: An Efficient KV Cache Compression Recipefor Near-Lossless Generative Inference of LLM☆175Updated last year
- The official PyTorch implementation of the NeurIPS2022 (spotlight) paper, Outlier Suppression: Pushing the Limit of Low-bit Transformer L…☆49Updated 3 years ago
- [ICML 2025] Official PyTorch implementation of "FlatQuant: Flatness Matters for LLM Quantization"☆206Updated last month
- ☆51Updated last year
- [ACL 2024] A novel QAT with Self-Distillation framework to enhance ultra low-bit LLMs.☆132Updated last year
- HALO: Hadamard-Assisted Low-Precision Optimization and Training method for finetuning LLMs. 🚀 The official implementation of https://arx…☆29Updated 11 months ago
- This repository contains integer operators on GPUs for PyTorch.☆236Updated 2 years ago
- Code for the NeurIPS 2022 paper "Optimal Brain Compression: A Framework for Accurate Post-Training Quantization and Pruning".☆129Updated 2 years ago
- QAQ: Quality Adaptive Quantization for LLM KV Cache☆55Updated last year
- ☆40Updated last year
- ☆33Updated 9 months ago
- Code repo for the paper "SpinQuant LLM quantization with learned rotations"☆370Updated 11 months ago