ModelCloud / GPTQModelLinks
Production ready LLM model compression/quantization toolkit with hw accelerated inference support for both cpu/gpu via HF, vLLM, and SGLang.
☆625Updated last week
Alternatives and similar repositories for GPTQModel
Users that are interested in GPTQModel are comparing it to the libraries listed below
Sorting:
- Transformers-compatible library for applying various compression algorithms to LLMs for optimized deployment with vLLM☆1,518Updated this week
- FP16xINT4 LLM inference kernel that can achieve near-ideal ~4x speedups up to medium batchsizes of 16-32 tokens.☆846Updated 9 months ago
- Advanced Quantization Algorithm for LLMs and VLMs, with support for CPU, Intel GPU, CUDA and HPU. Seamlessly integrated with Torchao, Tra…☆525Updated this week
- [MLSys'25] QServe: W4A8KV4 Quantization and System Co-design for Efficient LLM Serving; [MLSys'25] LServe: Efficient Long-sequence LLM Se…☆705Updated 3 months ago
- A throughput-oriented high-performance serving framework for LLMs☆825Updated 2 weeks ago
- AutoAWQ implements the AWQ algorithm for 4-bit quantization with a 2x speedup during inference. Documentation:☆2,193Updated last month
- Official Implementation of EAGLE-1 (ICML'24), EAGLE-2 (EMNLP'24), and EAGLE-3.☆1,325Updated 2 weeks ago
- [NeurIPS'24 Spotlight, ICLR'25, ICML'25] To speed up Long-context LLMs' inference, approximate and dynamic sparse calculate the attention…☆1,055Updated last week
- Official implementation of Half-Quadratic Quantization (HQQ)☆832Updated this week
- [EMNLP 2024 Industry Track] This is the official PyTorch implementation of "LLMC: Benchmarking Large Language Model Quantization with a V…☆492Updated this week
- VPTQ, A Flexible and Extreme low-bit quantization algorithm☆643Updated last month
- An Open Source Toolkit For LLM Distillation☆651Updated 3 weeks ago
- ☆541Updated 7 months ago
- Efficient LLM Inference over Long Sequences☆378Updated 2 weeks ago
- FlashInfer: Kernel Library for LLM Serving☆3,211Updated this week
- The Triton TensorRT-LLM Backend☆851Updated this week
- Fast, Flexible and Portable Structured Generation☆1,029Updated last week
- [ACL 2025 Main] EfficientQAT: Efficient Quantization-Aware Training for Large Language Models☆273Updated last month
- [ICLR2024 spotlight] OmniQuant is a simple and powerful quantization technique for LLMs.☆819Updated last month
- ☆194Updated last month
- A pytorch quantization backend for optimum☆955Updated this week
- For releasing code related to compression methods for transformers, accompanying our publications☆431Updated 5 months ago
- DFloat11: Lossless LLM Compression for Efficient GPU Inference☆426Updated last month
- A family of compressed models obtained via pruning and knowledge distillation☆343Updated 7 months ago
- [ICML 2024] Break the Sequential Dependency of LLM Inference Using Lookahead Decoding☆1,258Updated 3 months ago
- LLM KV cache compression made easy☆520Updated this week
- Code for Neurips24 paper: QuaRot, an end-to-end 4-bit inference of large language models.☆395Updated 6 months ago
- Comparison of Language Model Inference Engines☆217Updated 6 months ago
- [ICML 2023] SmoothQuant: Accurate and Efficient Post-Training Quantization for Large Language Models☆1,426Updated 11 months ago
- Muon is Scalable for LLM Training☆1,081Updated 2 months ago