hahnyuan / RPTQ4LLMLinks
Reorder-based post-training quantization for large language model
☆196Updated 2 years ago
Alternatives and similar repositories for RPTQ4LLM
Users that are interested in RPTQ4LLM are comparing it to the libraries listed below
Sorting:
- The official implementation of the EMNLP 2023 paper LLM-FP4☆219Updated 2 years ago
- ☆157Updated 2 years ago
- [MLSys'24] Atom: Low-bit Quantization for Efficient and Accurate LLM Serving☆332Updated last year
- GPTQ inference Triton kernel☆317Updated 2 years ago
- An algorithm for weight-activation quantization (W4A4, W4A8) of LLMs, supporting both static and dynamic quantization☆170Updated last month
- An easy-to-use package for implementing SmoothQuant for LLMs☆110Updated 8 months ago
- Code repo for the paper "LLM-QAT Data-Free Quantization Aware Training for Large Language Models"☆321Updated 9 months ago
- A general 2-8 bits quantization toolbox with GPTQ/AWQ/HQQ/VPTQ, and export to onnx/onnx-runtime easily.☆184Updated 8 months ago
- [NeurIPS 2024] KVQuant: Towards 10 Million Context Length LLM Inference with KV Cache Quantization☆395Updated last year
- This repository contains integer operators on GPUs for PyTorch.☆223Updated 2 years ago
- [ICML 2024] BiLLM: Pushing the Limit of Post-Training Quantization for LLMs☆227Updated 11 months ago
- PB-LLM: Partially Binarized Large Language Models☆157Updated 2 years ago
- [ACL 2024] A novel QAT with Self-Distillation framework to enhance ultra low-bit LLMs.☆132Updated last year
- Official implementation of the ICLR 2024 paper AffineQuant☆28Updated last year
- ☆160Updated 2 years ago
- QQQ is an innovative and hardware-optimized W4A8 quantization solution for LLMs.☆153Updated 4 months ago
- A repository dedicated to evaluating the performance of quantizied LLaMA3 using various quantization methods..☆197Updated 11 months ago
- Code for Neurips24 paper: QuaRot, an end-to-end 4-bit inference of large language models.☆469Updated last year
- ☆157Updated 10 months ago
- [ICML 2025] Official PyTorch implementation of "FlatQuant: Flatness Matters for LLM Quantization"☆203Updated last month
- GEAR: An Efficient KV Cache Compression Recipefor Near-Lossless Generative Inference of LLM☆175Updated last year
- An efficient GPU support for LLM inference with x-bit quantization (e.g. FP6,FP5).☆277Updated 5 months ago
- Low-bit optimizers for PyTorch☆137Updated 2 years ago
- The official PyTorch implementation of the NeurIPS2022 (spotlight) paper, Outlier Suppression: Pushing the Limit of Low-bit Transformer L…☆49Updated 3 years ago
- QUICK: Quantization-aware Interleaving and Conflict-free Kernel for efficient LLM inference☆118Updated last year
- ShiftAddLLM: Accelerating Pretrained LLMs via Post-Training Multiplication-Less Reparameterization☆111Updated last year
- [NeurIPS 2024] The official implementation of "Kangaroo: Lossless Self-Speculative Decoding for Accelerating LLMs via Double Early Exitin…☆63Updated last year
- Code implementation of GPTAQ (https://arxiv.org/abs/2504.02692)☆79Updated 5 months ago
- Boosting 4-bit inference kernels with 2:4 Sparsity☆90Updated last year
- Advanced Ultra-Low Bitrate Compression Techniques for the LLaMA Family of LLMs☆110Updated last year