facebookresearch / LLM-QATLinks
Code repo for the paper "LLM-QAT Data-Free Quantization Aware Training for Large Language Models"
☆310Updated 5 months ago
Alternatives and similar repositories for LLM-QAT
Users that are interested in LLM-QAT are comparing it to the libraries listed below
Sorting:
- The official implementation of the EMNLP 2023 paper LLM-FP4☆213Updated last year
- [NeurIPS 2024] KVQuant: Towards 10 Million Context Length LLM Inference with KV Cache Quantization☆374Updated last year
- [MLSys'24] Atom: Low-bit Quantization for Efficient and Accurate LLM Serving☆319Updated last year
- Code repo for the paper "SpinQuant LLM quantization with learned rotations"☆316Updated 6 months ago
- This repository contains integer operators on GPUs for PyTorch.☆213Updated last year
- ☆332Updated last year
- [NeurIPS'23] H2O: Heavy-Hitter Oracle for Efficient Generative Inference of Large Language Models.☆467Updated last year
- [ICML 2024] KIVI: A Tuning-Free Asymmetric 2bit Quantization for KV Cache☆315Updated 7 months ago
- ☆154Updated 2 years ago
- A repository dedicated to evaluating the performance of quantizied LLaMA3 using various quantization methods..☆193Updated 7 months ago
- Code for Neurips24 paper: QuaRot, an end-to-end 4-bit inference of large language models.☆414Updated 9 months ago
- [ICML 2025] Official PyTorch implementation of "FlatQuant: Flatness Matters for LLM Quantization"☆153Updated last month
- An easy-to-use package for implementing SmoothQuant for LLMs☆104Updated 4 months ago
- Reorder-based post-training quantization for large language model☆195Updated 2 years ago
- Awesome list for LLM quantization☆282Updated this week
- ☆196Updated 3 months ago
- Spec-Bench: A Comprehensive Benchmark and Unified Evaluation Platform for Speculative Decoding (ACL 2024 Findings)☆308Updated 4 months ago
- GPTQ inference Triton kernel☆306Updated 2 years ago
- [MLSys'25] QServe: W4A8KV4 Quantization and System Co-design for Efficient LLM Serving; [MLSys'25] LServe: Efficient Long-sequence LLM Se…☆735Updated 5 months ago
- [ACL 2024] A novel QAT with Self-Distillation framework to enhance ultra low-bit LLMs.☆120Updated last year
- QQQ is an innovative and hardware-optimized W4A8 quantization solution for LLMs.☆138Updated last week
- Code for the NeurIPS 2022 paper "Optimal Brain Compression: A Framework for Accurate Post-Training Quantization and Pruning".☆126Updated 2 years ago
- Microsoft Automatic Mixed Precision Library☆616Updated 11 months ago
- ☆276Updated last month
- [ICLR 2025] COAT: Compressing Optimizer States and Activation for Memory-Efficient FP8 Training☆231Updated 2 weeks ago
- For releasing code related to compression methods for transformers, accompanying our publications☆441Updated 7 months ago
- ☆226Updated last year
- An algorithm for weight-activation quantization (W4A4, W4A8) of LLMs, supporting both static and dynamic quantization☆147Updated 3 months ago
- Official PyTorch implementation of QA-LoRA☆138Updated last year
- A collection of memory efficient attention operators implemented in the Triton language.☆278Updated last year