thu-nics / qllm-evalLinks
Code Repository of Evaluating Quantized Large Language Models
☆132Updated last year
Alternatives and similar repositories for qllm-eval
Users that are interested in qllm-eval are comparing it to the libraries listed below
Sorting:
- [ICML 2025] Official PyTorch implementation of "FlatQuant: Flatness Matters for LLM Quantization"☆170Updated this week
- An algorithm for weight-activation quantization (W4A4, W4A8) of LLMs, supporting both static and dynamic quantization☆150Updated 4 months ago
- [ICLR2025]: OSTQuant: Refining Large Language Model Quantization with Orthogonal and Scaling Transformations for Better Distribution Fitt…☆78Updated 5 months ago
- Code implementation of GPTAQ (https://arxiv.org/abs/2504.02692)☆64Updated 2 months ago
- [ACL 2024] A novel QAT with Self-Distillation framework to enhance ultra low-bit LLMs.☆123Updated last year
- LLM Inference with Microscaling Format☆31Updated 10 months ago
- [NeurIPS 2024 Oral🔥] DuQuant: Distributing Outliers via Dual Transformation Makes Stronger Quantized LLMs.☆168Updated last year
- Code for the AAAI 2024 Oral paper "OWQ: Outlier-Aware Weight Quantization for Efficient Fine-Tuning and Inference of Large Language Model…☆66Updated last year
- The official PyTorch implementation of the NeurIPS2022 (spotlight) paper, Outlier Suppression: Pushing the Limit of Low-bit Transformer L…☆48Updated 2 years ago
- AFPQ code implementation☆23Updated last year
- [ICML 2024 Oral] Any-Precision LLM: Low-Cost Deployment of Multiple, Different-Sized LLMs☆115Updated 3 months ago
- ☆53Updated last year
- ☆22Updated 11 months ago
- Code for the NeurIPS 2022 paper "Optimal Brain Compression: A Framework for Accurate Post-Training Quantization and Pruning".☆129Updated 2 years ago
- Official implementation of the EMNLP23 paper: Outlier Suppression+: Accurate quantization of large language models by equivalent and opti…☆47Updated last year
- This repository contains integer operators on GPUs for PyTorch.☆218Updated 2 years ago
- The code repository of "MBQ: Modality-Balanced Quantization for Large Vision-Language Models"☆59Updated 6 months ago
- [ICML 2025] SliM-LLM: Salience-Driven Mixed-Precision Quantization for Large Language Models☆44Updated last year
- [EMNLP 2024] RoLoRA: Fine-tuning Rotated Outlier-free LLMs for Effective Weight-Activation Quantization☆38Updated last year
- This repo contains the code for studying the interplay between quantization and sparsity methods☆23Updated 7 months ago
- Official Pytorch Implementation of "Outlier Weighed Layerwise Sparsity (OWL): A Missing Secret Sauce for Pruning LLMs to High Sparsity"☆72Updated 2 months ago
- ☆82Updated 8 months ago
- [ICML 2024] KIVI: A Tuning-Free Asymmetric 2bit Quantization for KV Cache☆326Updated last week
- ☆71Updated last year
- [ICLR 2025] Palu: Compressing KV-Cache with Low-Rank Projection☆140Updated 7 months ago
- [COLM 2025] Official PyTorch implementation of "Quantization Hurts Reasoning? An Empirical Study on Quantized Reasoning Models"☆54Updated 2 months ago
- ☆24Updated 10 months ago
- ☆20Updated last year
- [MLSys'24] Atom: Low-bit Quantization for Efficient and Accurate LLM Serving☆320Updated last year
- This repository contains the training code of ParetoQ introduced in our work "ParetoQ Scaling Laws in Extremely Low-bit LLM Quantization"☆105Updated 4 months ago