mit-han-lab / llm-awqLinks
[MLSys 2024 Best Paper Award] AWQ: Activation-aware Weight Quantization for LLM Compression and Acceleration
☆3,318Updated 3 months ago
Alternatives and similar repositories for llm-awq
Users that are interested in llm-awq are comparing it to the libraries listed below
Sorting:
- AutoAWQ implements the AWQ algorithm for 4-bit quantization with a 2x speedup during inference. Documentation:☆2,260Updated 5 months ago
- Code for the ICLR 2023 paper "GPTQ: Accurate Post-training Quantization of Generative Pretrained Transformers".☆2,202Updated last year
- [ICML 2023] SmoothQuant: Accurate and Efficient Post-Training Quantization for Large Language Models☆1,531Updated last year
- Medusa: Simple Framework for Accelerating LLM Generation with Multiple Decoding Heads☆2,646Updated last year
- LightLLM is a Python-based LLM (Large Language Model) inference and serving framework, notable for its lightweight design, easy scalabili…☆3,662Updated this week
- FlashInfer: Kernel Library for LLM Serving☆3,952Updated this week
- S-LoRA: Serving Thousands of Concurrent LoRA Adapters☆1,859Updated last year
- MII makes low-latency and high-throughput inference possible, powered by DeepSpeed.☆2,070Updated 3 months ago
- A library for accelerating Transformer models on NVIDIA GPUs, including using 8-bit floating point (FP8) precision on Hopper, Ada and Bla…☆2,834Updated this week
- [ICML 2024] Break the Sequential Dependency of LLM Inference Using Lookahead Decoding☆1,288Updated 7 months ago
- Transformers-compatible library for applying various compression algorithms to LLMs for optimized deployment with vLLM☆2,106Updated this week
- An easy-to-use LLMs quantization package with user-friendly apis, based on GPTQ algorithm.☆4,970Updated 6 months ago
- Minimalistic large language model 3D-parallelism training☆2,267Updated last month
- Accessible large language models via k-bit quantization for PyTorch.☆7,659Updated 3 weeks ago
- Official Implementation of EAGLE-1 (ICML'24), EAGLE-2 (EMNLP'24), and EAGLE-3 (NeurIPS'25).☆1,884Updated last week
- Ongoing research training transformer language models at scale, including: BERT & GPT-2☆2,176Updated 2 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…☆1,072Updated last year
- A family of open-sourced Mixture-of-Experts (MoE) Large Language Models☆1,614Updated last year
- GaLore: Memory-Efficient LLM Training by Gradient Low-Rank Projection☆1,610Updated 11 months ago
- [NeurIPS'24 Spotlight, ICLR'25, ICML'25] To speed up Long-context LLMs' inference, approximate and dynamic sparse calculate the attention…☆1,141Updated 3 weeks ago
- YaRN: Efficient Context Window Extension of Large Language Models☆1,619Updated last year
- Awesome LLM compression research papers and tools.☆1,690Updated 3 months ago
- A curated list for Efficient Large Language Models☆1,874Updated 4 months ago
- Transformer related optimization, including BERT, GPT☆6,326Updated last year
- PyTorch native quantization and sparsity for training and inference☆2,438Updated this week
- Automatically Discovering Fast Parallelization Strategies for Distributed Deep Neural Network Training☆1,837Updated last week
- Code for the ICML 2023 paper "SparseGPT: Massive Language Models Can Be Accurately Pruned in One-Shot".☆843Updated last year
- [TMLR 2024] Efficient Large Language Models: A Survey☆1,221Updated 4 months ago
- [ICLR2024 spotlight] OmniQuant is a simple and powerful quantization technique for LLMs.☆859Updated 5 months ago
- ⚡ Build your chatbot within minutes on your favorite device; offer SOTA compression techniques for LLMs; run LLMs efficiently on Intel Pl…☆2,163Updated last year