mit-han-lab / smoothquantLinks
[ICML 2023] SmoothQuant: Accurate and Efficient Post-Training Quantization for Large Language Models
☆1,562Updated last year
Alternatives and similar repositories for smoothquant
Users that are interested in smoothquant are comparing it to the libraries listed below
Sorting:
- [MLSys 2024 Best Paper Award] AWQ: Activation-aware Weight Quantization for LLM Compression and Acceleration☆3,362Updated 4 months ago
- Code for the ICLR 2023 paper "GPTQ: Accurate Post-training Quantization of Generative Pretrained Transformers".☆2,221Updated last year
- [ICLR2024 spotlight] OmniQuant is a simple and powerful quantization technique for LLMs.☆875Updated this week
- Code for the ICML 2023 paper "SparseGPT: Massive Language Models Can Be Accurately Pruned in One-Shot".☆851Updated last year
- FP16xINT4 LLM inference kernel that can achieve near-ideal ~4x speedups up to medium batchsizes of 16-32 tokens.☆954Updated last year
- [MLSys'25] QServe: W4A8KV4 Quantization and System Co-design for Efficient LLM Serving; [MLSys'25] LServe: Efficient Long-sequence LLM Se…☆786Updated 8 months ago
- [ICML 2024] Break the Sequential Dependency of LLM Inference Using Lookahead Decoding☆1,307Updated 8 months ago
- [NeurIPS 2023] LLM-Pruner: On the Structural Pruning of Large Language Models. Support Llama-3/3.1, Llama-2, LLaMA, BLOOM, Vicuna, Baich…☆1,083Updated last year
- A library for accelerating Transformer models on NVIDIA GPUs, including using 8-bit and 4-bit floating point (FP8 and FP4) precision on H…☆2,954Updated this week
- Awesome LLM compression research papers and tools.☆1,720Updated 3 weeks ago
- Microsoft Automatic Mixed Precision Library☆627Updated last year
- A simple and effective LLM pruning approach.☆822Updated last year
- [ICML 2024] SqueezeLLM: Dense-and-Sparse Quantization☆708Updated last year
- Code repo for the paper "LLM-QAT Data-Free Quantization Aware Training for Large Language Models"☆321Updated 8 months ago
- Code for Neurips24 paper: QuaRot, an end-to-end 4-bit inference of large language models.☆454Updated last year
- Automatically Discovering Fast Parallelization Strategies for Distributed Deep Neural Network Training☆1,842Updated 2 weeks ago
- AutoAWQ implements the AWQ algorithm for 4-bit quantization with a 2x speedup during inference. Documentation:☆2,276Updated 6 months ago
- Tutel MoE: Optimized Mixture-of-Experts Library, Support GptOss/DeepSeek/Kimi-K2/Qwen3 using FP8/NVFP4/MXFP4☆943Updated 3 weeks ago
- [EMNLP 2024 & AAAI 2026] A powerful toolkit for compressing large models including LLM, VLM, and video generation models.☆625Updated last week
- ☆347Updated last year
- A throughput-oriented high-performance serving framework for LLMs☆918Updated last month
- Official Implementation of EAGLE-1 (ICML'24), EAGLE-2 (EMNLP'24), and EAGLE-3 (NeurIPS'25).☆2,016Updated last week
- A pytorch quantization backend for optimum☆1,011Updated last week
- Fast inference from large lauguage models via speculative decoding☆859Updated last year
- Code repo for the paper "SpinQuant LLM quantization with learned rotations"☆352Updated 9 months ago
- List of papers related to neural network quantization in recent AI conferences and journals.☆764Updated 8 months ago
- BitBLAS is a library to support mixed-precision matrix multiplications, especially for quantized LLM deployment.☆720Updated 3 months ago
- [NeurIPS'24 Spotlight, ICLR'25, ICML'25] To speed up Long-context LLMs' inference, approximate and dynamic sparse calculate the attention…☆1,157Updated 2 months ago
- A curated list for Efficient Large Language Models☆1,902Updated 5 months ago
- For releasing code related to compression methods for transformers, accompanying our publications☆452Updated 10 months ago