spcl / QuaRot
Code for Neurips24 paper: QuaRot, an end-to-end 4-bit inference of large language models.
☆342Updated 2 months ago
Alternatives and similar repositories for QuaRot:
Users that are interested in QuaRot are comparing it to the libraries listed below
- QServe: W4A8KV4 Quantization and System Co-design for Efficient LLM Serving☆496Updated this week
- [ICML 2024] KIVI: A Tuning-Free Asymmetric 2bit Quantization for KV Cache☆272Updated last month
- Code repo for the paper "SpinQuant LLM quantization with learned rotations"☆213Updated this week
- [MLSys'24] Atom: Low-bit Quantization for Efficient and Accurate LLM Serving☆295Updated 7 months ago
- [NeurIPS 2024] KVQuant: Towards 10 Million Context Length LLM Inference with KV Cache Quantization☆332Updated 6 months ago
- Fast Matrix Multiplications for Lookup Table-Quantized LLMs☆229Updated this week
- An efficient GPU support for LLM inference with x-bit quantization (e.g. FP6,FP5).☆234Updated 3 months ago
- Fast low-bit matmul kernels in Triton☆236Updated this week
- The official implementation of the EMNLP 2023 paper LLM-FP4☆184Updated last year
- ☆314Updated 10 months ago
- BitBLAS is a library to support mixed-precision matrix multiplications, especially for quantized LLM deployment.☆523Updated last week
- This repository contains integer operators on GPUs for PyTorch.☆191Updated last year
- Fast Hadamard transform in CUDA, with a PyTorch interface☆143Updated 8 months ago
- Applied AI experiments and examples for PyTorch☆225Updated this week
- Spec-Bench: A Comprehensive Benchmark and Unified Evaluation Platform for Speculative Decoding (ACL 2024 Findings)☆223Updated 3 months ago
- FP16xINT4 LLM inference kernel that can achieve near-ideal ~4x speedups up to medium batchsizes of 16-32 tokens.☆729Updated 5 months ago
- [ICML 2024] Quest: Query-Aware Sparsity for Efficient Long-Context LLM Inference☆245Updated 2 months ago
- Code repo for the paper "LLM-QAT Data-Free Quantization Aware Training for Large Language Models"☆269Updated 5 months ago
- GEAR: An Efficient KV Cache Compression Recipefor Near-Lossless Generative Inference of LLM☆157Updated 7 months ago
- For releasing code related to compression methods for transformers, accompanying our publications☆408Updated last month
- QUICK: Quantization-aware Interleaving and Conflict-free Kernel for efficient LLM inference☆116Updated 11 months ago
- EfficientQAT: Efficient Quantization-Aware Training for Large Language Models☆246Updated 4 months ago
- A repository dedicated to evaluating the performance of quantizied LLaMA3 using various quantization methods..☆178Updated last month
- ☆220Updated 9 months ago
- Official Pytorch Implementation of "Outlier Weighed Layerwise Sparsity (OWL): A Missing Secret Sauce for Pruning LLMs to High Sparsity"☆57Updated 7 months ago
- ☆143Updated last year
- Model Compression Toolbox for Large Language Models and Diffusion Models☆328Updated last week
- Official PyTorch implementation of FlatQuant: Flatness Matters for LLM Quantization☆102Updated 3 weeks ago
- Code for paper: "QuIP: 2-Bit Quantization of Large Language Models With Guarantees"☆361Updated 11 months ago
- Explorations into some recent techniques surrounding speculative decoding☆240Updated last month