mit-han-lab / smoothquant
[ICML 2023] SmoothQuant: Accurate and Efficient Post-Training Quantization for Large Language Models
☆1,387Updated 9 months ago
Alternatives and similar repositories for smoothquant:
Users that are interested in smoothquant are comparing it to the libraries listed below
- Code for the ICLR 2023 paper "GPTQ: Accurate Post-training Quantization of Generative Pretrained Transformers".☆2,077Updated last year
- [MLSys 2024 Best Paper Award] AWQ: Activation-aware Weight Quantization for LLM Compression and Acceleration☆2,922Updated this week
- Code for the ICML 2023 paper "SparseGPT: Massive Language Models Can Be Accurately Pruned in One-Shot".☆781Updated 7 months ago
- FP16xINT4 LLM inference kernel that can achieve near-ideal ~4x speedups up to medium batchsizes of 16-32 tokens.☆797Updated 7 months ago
- [MLSys'25] QServe: W4A8KV4 Quantization and System Co-design for Efficient LLM Serving; [MLSys'25] LServe: Efficient Long-sequence LLM Se…☆635Updated last month
- [ICLR2024 spotlight] OmniQuant is a simple and powerful quantization technique for LLMs.☆792Updated 6 months ago
- A simple and effective LLM pruning approach.☆735Updated 8 months ago
- [ICML 2024] Break the Sequential Dependency of LLM Inference Using Lookahead Decoding☆1,236Updated last month
- A library for accelerating Transformer models on NVIDIA GPUs, including using 8-bit floating point (FP8) precision on Hopper, Ada and Bla…☆2,355Updated this week
- [NeurIPS 2023] LLM-Pruner: On the Structural Pruning of Large Language Models. Support Llama-3/3.1, Llama-2, LLaMA, BLOOM, Vicuna, Baich…☆997Updated 6 months ago
- [ICML 2024] SqueezeLLM: Dense-and-Sparse Quantization☆685Updated 8 months ago
- MII makes low-latency and high-throughput inference possible, powered by DeepSpeed.☆2,002Updated 3 weeks ago
- Official Implementation of EAGLE-1 (ICML'24), EAGLE-2 (EMNLP'24), and EAGLE-3.☆1,169Updated this week
- Awesome LLM compression research papers and tools.☆1,467Updated this week
- Microsoft Automatic Mixed Precision Library☆591Updated 6 months ago
- Automatically Discovering Fast Parallelization Strategies for Distributed Deep Neural Network Training☆1,783Updated last week
- Serving multiple LoRA finetuned LLM as one☆1,052Updated 11 months ago
- FlashInfer: Kernel Library for LLM Serving☆2,659Updated this week
- AutoAWQ implements the AWQ algorithm for 4-bit quantization with a 2x speedup during inference. Documentation:☆2,092Updated last week
- A throughput-oriented high-performance serving framework for LLMs☆794Updated 6 months ago
- Code repo for the paper "LLM-QAT Data-Free Quantization Aware Training for Large Language Models"☆278Updated last month
- Tutel MoE: Optimized Mixture-of-Experts Library, Support DeepSeek FP8/FP4☆800Updated this week
- Ongoing research training transformer language models at scale, including: BERT & GPT-2☆2,044Updated 3 weeks ago
- [ICLR 2024] Sheared LLaMA: Accelerating Language Model Pre-training via Structured Pruning☆600Updated last year
- Medusa: Simple Framework for Accelerating LLM Generation with Multiple Decoding Heads☆2,494Updated 9 months ago
- A pytorch quantization backend for optimum☆917Updated last week
- nvidia-modelopt is a unified library of state-of-the-art model optimization techniques like quantization, pruning, distillation, speculat…☆860Updated 2 weeks ago
- BitBLAS is a library to support mixed-precision matrix multiplications, especially for quantized LLM deployment.☆579Updated 2 months ago
- ☆313Updated last year
- A curated list for Efficient Large Language Models☆1,610Updated this week