hahnyuan / RPTQ4LLM
Reorder-based post-training quantization for large language model
☆184Updated last year
Alternatives and similar repositories for RPTQ4LLM:
Users that are interested in RPTQ4LLM are comparing it to the libraries listed below
- The official implementation of the EMNLP 2023 paper LLM-FP4☆176Updated last year
- ☆140Updated last year
- Official PyTorch implementation of FlatQuant: Flatness Matters for LLM Quantization☆95Updated last week
- GPTQ inference Triton kernel☆292Updated last year
- Code repo for the paper "LLM-QAT Data-Free Quantization Aware Training for Large Language Models"☆266Updated 4 months ago
- An algorithm for static activation quantization of LLMs☆112Updated 2 weeks ago
- [MLSys'24] Atom: Low-bit Quantization for Efficient and Accurate LLM Serving☆291Updated 6 months ago
- This repository contains integer operators on GPUs for PyTorch.☆190Updated last year
- Code for Neurips24 paper: QuaRot, an end-to-end 4-bit inference of large language models.☆322Updated 2 months ago
- PB-LLM: Partially Binarized Large Language Models☆150Updated last year
- GEAR: An Efficient KV Cache Compression Recipefor Near-Lossless Generative Inference of LLM☆152Updated 6 months ago
- A general 2-8 bits quantization toolbox with GPTQ/AWQ/HQQ/VPTQ, and export to onnx/onnx-runtime easily.☆155Updated this week
- An easy-to-use package for implementing SmoothQuant for LLMs☆89Updated 8 months ago
- QQQ is an innovative and hardware-optimized W4A8 quantization solution for LLMs.☆95Updated last month
- Official implementation of the ICLR 2024 paper AffineQuant☆24Updated 10 months ago
- [NeurIPS 2024] KVQuant: Towards 10 Million Context Length LLM Inference with KV Cache Quantization☆327Updated 5 months ago
- ☆157Updated last year
- Code for paper: "QuIP: 2-Bit Quantization of Large Language Models With Guarantees"☆358Updated 11 months ago
- An efficient GPU support for LLM inference with x-bit quantization (e.g. FP6,FP5).☆232Updated 3 months ago
- [ACL 2024] A novel QAT with Self-Distillation framework to enhance ultra low-bit LLMs.☆98Updated 8 months ago
- Get down and dirty with FlashAttention2.0 in pytorch, plug in and play no complex CUDA kernels☆102Updated last year
- Official Pytorch Implementation of "Outlier Weighed Layerwise Sparsity (OWL): A Missing Secret Sauce for Pruning LLMs to High Sparsity"☆57Updated 7 months ago
- Code repo for the paper "SpinQuant LLM quantization with learned rotations"☆207Updated 2 months ago
- Advanced Ultra-Low Bitrate Compression Techniques for the LLaMA Family of LLMs☆110Updated last year
- [ICML 2024] KIVI: A Tuning-Free Asymmetric 2bit Quantization for KV Cache☆269Updated last week
- Low-bit optimizers for PyTorch☆125Updated last year
- Boosting 4-bit inference kernels with 2:4 Sparsity☆64Updated 4 months ago
- QUICK: Quantization-aware Interleaving and Conflict-free Kernel for efficient LLM inference☆114Updated 10 months ago
- EfficientQAT: Efficient Quantization-Aware Training for Large Language Models☆241Updated 3 months ago
- Fast Matrix Multiplications for Lookup Table-Quantized LLMs☆221Updated last week