thu-nics / qllm-eval
Code Repository of Evaluating Quantized Large Language Models
☆112Updated 4 months ago
Alternatives and similar repositories for qllm-eval:
Users that are interested in qllm-eval are comparing it to the libraries listed below
- Official PyTorch implementation of FlatQuant: Flatness Matters for LLM Quantization☆90Updated 2 months ago
- The official PyTorch implementation of the NeurIPS2022 (spotlight) paper, Outlier Suppression: Pushing the Limit of Low-bit Transformer L…☆47Updated 2 years ago
- An algorithm for static activation quantization of LLMs☆107Updated this week
- [ACL 2024] A novel QAT with Self-Distillation framework to enhance ultra low-bit LLMs.☆97Updated 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…☆56Updated 10 months ago
- QQQ is an innovative and hardware-optimized W4A8 quantization solution for LLMs.☆94Updated last month
- This repository contains integer operators on GPUs for PyTorch.☆189Updated last year
- [ICML 2024] Quest: Query-Aware Sparsity for Efficient Long-Context LLM Inference☆234Updated last month
- ☆85Updated last year
- Official implementation of the EMNLP23 paper: Outlier Suppression+: Accurate quantization of large language models by equivalent and opti…☆45Updated last year
- Code for the NeurIPS 2022 paper "Optimal Brain Compression: A Framework for Accurate Post-Training Quantization and Pruning".☆109Updated last year
- ☆18Updated last month
- [MLSys'24] Atom: Low-bit Quantization for Efficient and Accurate LLM Serving☆290Updated 6 months ago
- AFPQ code implementation☆19Updated last year
- Awesome LLM pruning papers all-in-one repository with integrating all useful resources and insights.☆58Updated last month
- ☆47Updated 9 months ago
- Spec-Bench: A Comprehensive Benchmark and Unified Evaluation Platform for Speculative Decoding (ACL 2024 Findings)☆213Updated 2 months ago
- A sparse attention kernel supporting mix sparse patterns☆93Updated 3 months ago
- QAQ: Quality Adaptive Quantization for LLM KV Cache☆44Updated 9 months ago
- GEAR: An Efficient KV Cache Compression Recipefor Near-Lossless Generative Inference of LLM☆152Updated 6 months ago
- [ICML 2024] KIVI: A Tuning-Free Asymmetric 2bit Quantization for KV Cache☆262Updated 3 months ago
- 16-fold memory access reduction with nearly no loss☆63Updated 2 months ago
- [ICML 2024 Oral] Any-Precision LLM: Low-Cost Deployment of Multiple, Different-Sized LLMs☆90Updated 3 weeks ago
- [EMNLP 2024] RoLoRA: Fine-tuning Rotated Outlier-free LLMs for Effective Weight-Activation Quantization☆27Updated 3 months ago
- ☆51Updated 9 months ago
- ☆134Updated 5 months ago
- [NeurIPS 2024 Oral🔥] DuQuant: Distributing Outliers via Dual Transformation Makes Stronger Quantized LLMs.☆137Updated 3 months ago
- The official implementation of the EMNLP 2023 paper LLM-FP4☆174Updated last year
- Official Pytorch Implementation of "Outlier Weighed Layerwise Sparsity (OWL): A Missing Secret Sauce for Pruning LLMs to High Sparsity"☆55Updated 6 months ago
- ☆18Updated 2 months ago