mit-han-lab / smoothquant
[ICML 2023] SmoothQuant: Accurate and Efficient Post-Training Quantization for Large Language Models
☆1,257Updated 4 months ago
Related projects ⓘ
Alternatives and complementary repositories for smoothquant
- [MLSys 2024 Best Paper Award] AWQ: Activation-aware Weight Quantization for LLM Compression and Acceleration☆2,526Updated last month
- FlashInfer: Kernel Library for LLM Serving☆1,452Updated this week
- Code for the ICLR 2023 paper "GPTQ: Accurate Post-training Quantization of Generative Pretrained Transformers".☆1,941Updated 7 months ago
- [ICLR2024 spotlight] OmniQuant is a simple and powerful quantization technique for LLMs.☆731Updated last month
- Code for the ICML 2023 paper "SparseGPT: Massive Language Models Can Be Accurately Pruned in One-Shot".☆721Updated 3 months ago
- [ICML 2024] Break the Sequential Dependency of LLM Inference Using Lookahead Decoding☆1,149Updated last month
- Official Implementation of EAGLE-1 (ICML'24) and EAGLE-2 (EMNLP'24)☆826Updated this week
- Awesome LLM compression research papers and tools.☆1,202Updated this week
- FP16xINT4 LLM inference kernel that can achieve near-ideal ~4x speedups up to medium batchsizes of 16-32 tokens.☆624Updated 2 months ago
- [ICML 2024] SqueezeLLM: Dense-and-Sparse Quantization☆649Updated 3 months ago
- A library for accelerating Transformer models on NVIDIA GPUs, including using 8-bit floating point (FP8) precision on Hopper and Ada GPUs…☆1,979Updated 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…☆874Updated last month
- QServe: W4A8KV4 Quantization and System Co-design for Efficient LLM Serving☆443Updated last week
- A simple and effective LLM pruning approach.☆669Updated 3 months ago
- Microsoft Automatic Mixed Precision Library☆525Updated last month
- AutoAWQ implements the AWQ algorithm for 4-bit quantization with a 2x speedup during inference. Documentation:☆1,765Updated this week
- A pytorch quantization backend for optimum☆824Updated last week
- ☆289Updated 7 months ago
- Ongoing research training transformer language models at scale, including: BERT & GPT-2☆1,893Updated last month
- [ICLR 2024] Sheared LLaMA: Accelerating Language Model Pre-training via Structured Pruning☆558Updated 8 months ago
- Code repo for the paper "LLM-QAT Data-Free Quantization Aware Training for Large Language Models"☆254Updated 2 months ago
- MII makes low-latency and high-throughput inference possible, powered by DeepSpeed.☆1,904Updated this week
- A throughput-oriented high-performance serving framework for LLMs☆636Updated 2 months ago
- A curated list for Efficient Large Language Models☆1,270Updated this week
- Fast inference from large lauguage models via speculative decoding☆569Updated 2 months ago
- Serving multiple LoRA finetuned LLM as one☆984Updated 6 months ago
- For releasing code related to compression methods for transformers, accompanying our publications☆372Updated last month
- [NeurIPS'23] H2O: Heavy-Hitter Oracle for Efficient Generative Inference of Large Language Models.☆391Updated 3 months ago
- Ring attention implementation with flash attention☆585Updated last week