Model Compression Toolbox for Large Language Models and Diffusion Models
☆764Aug 14, 2025Updated 7 months ago
Alternatives and similar repositories for deepcompressor
Users that are interested in deepcompressor are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- [ICLR2025 Spotlight] SVDQuant: Absorbing Outliers by Low-Rank Components for 4-Bit Diffusion Models☆3,739Mar 7, 2026Updated 2 weeks ago
- [MLSys'25] QServe: W4A8KV4 Quantization and System Co-design for Efficient LLM Serving; [MLSys'25] LServe: Efficient Long-sequence LLM Se…☆821Mar 6, 2025Updated last year
- [MLSys'24] Atom: Low-bit Quantization for Efficient and Accurate LLM Serving☆336Jul 2, 2024Updated last year
- QQQ is an innovative and hardware-optimized W4A8 quantization solution for LLMs.☆155Aug 21, 2025Updated 7 months ago
- Code for Neurips24 paper: QuaRot, an end-to-end 4-bit inference of large language models.☆492Nov 26, 2024Updated last year
- Open source password manager - Proton Pass • AdSecurely store, share, and autofill your credentials with Proton Pass, the end-to-end encrypted password manager trusted by millions.
- [ICLR'25] ViDiT-Q: Efficient and Accurate Quantization of Diffusion Transformers for Image and Video Generation☆154Mar 21, 2025Updated last year
- [EMNLP 2024 & AAAI 2026] A powerful toolkit for compressing large models including LLMs, VLMs, and video generative models.☆691Mar 11, 2026Updated 2 weeks ago
- An algorithm for weight-activation quantization (W4A4, W4A8) of LLMs, supporting both static and dynamic quantization☆172Nov 26, 2025Updated 4 months ago
- [ICLR2025, ICML2025, NeurIPS2025 Spotlight] Quantized Attention achieves speedup of 2-5x compared to FlashAttention, without losing end-t…☆3,249Jan 17, 2026Updated 2 months ago
- [ICML 2025] Official PyTorch implementation of "FlatQuant: Flatness Matters for LLM Quantization"☆211Nov 25, 2025Updated 4 months ago
- ☆191Jan 14, 2025Updated last year
- [ICML 2023] SmoothQuant: Accurate and Efficient Post-Training Quantization for Large Language Models☆1,625Jul 12, 2024Updated last year
- [ICML 2024] KIVI: A Tuning-Free Asymmetric 2bit Quantization for KV Cache☆363Nov 20, 2025Updated 4 months ago
- [ICLR2024 spotlight] OmniQuant is a simple and powerful quantization technique for LLMs.☆892Nov 26, 2025Updated 4 months ago
- Virtual machines for every use case on DigitalOcean • AdGet dependable uptime with 99.99% SLA, simple security tools, and predictable monthly pricing with DigitalOcean's virtual machines, called Droplets.
- Code repo for the paper "SpinQuant LLM quantization with learned rotations"☆380Feb 14, 2025Updated last year
- FP16xINT4 LLM inference kernel that can achieve near-ideal ~4x speedups up to medium batchsizes of 16-32 tokens.☆1,041Sep 4, 2024Updated last year
- [NeurIPS 2024] KVQuant: Towards 10 Million Context Length LLM Inference with KV Cache Quantization☆416Aug 13, 2024Updated last year
- [ICLR 2025] DuoAttention: Efficient Long-Context LLM Inference with Retrieval and Streaming Heads☆532Feb 10, 2025Updated last year
- A sparse attention kernel supporting mix sparse patterns☆485Jan 18, 2026Updated 2 months ago
- [MLSys 2024 Best Paper Award] AWQ: Activation-aware Weight Quantization for LLM Compression and Acceleration☆3,469Jul 17, 2025Updated 8 months ago
- [ICCV 2023] Q-Diffusion: Quantizing Diffusion Models.☆371Mar 21, 2024Updated 2 years ago
- [NeurIPS 2024 Oral🔥] DuQuant: Distributing Outliers via Dual Transformation Makes Stronger Quantized LLMs.☆179Oct 3, 2024Updated last year
- https://wavespeed.ai/ Context parallel attention that accelerates DiT model inference with dynamic caching☆426Jul 5, 2025Updated 8 months ago
- GPU virtual machines on DigitalOcean Gradient AI • AdGet to production fast with high-performance AMD and NVIDIA GPUs you can spin up in seconds. The definition of operational simplicity.
- Code Repository of Evaluating Quantized Large Language Models☆135Sep 8, 2024Updated last year
- Code implementation of GPTAQ (https://arxiv.org/abs/2504.02692)☆88Jul 28, 2025Updated 7 months ago
- [ICML 2024] Quest: Query-Aware Sparsity for Efficient Long-Context LLM Inference☆377Jul 10, 2025Updated 8 months ago
- xDiT: A Scalable Inference Engine for Diffusion Transformers (DiTs) with Massive Parallelism☆2,572Mar 18, 2026Updated last week
- [ICML 2025] XAttention: Block Sparse Attention with Antidiagonal Scoring☆273Jul 6, 2025Updated 8 months ago
- A pytorch quantization backend for optimum☆1,034Nov 21, 2025Updated 4 months ago
- This repository contains integer operators on GPUs for PyTorch.☆237Sep 29, 2023Updated 2 years ago
- Fast Matrix Multiplications for Lookup Table-Quantized LLMs☆389Apr 13, 2025Updated 11 months ago
- The official implementation of the EMNLP 2023 paper LLM-FP4☆222Dec 15, 2023Updated 2 years ago
- GPU virtual machines on DigitalOcean Gradient AI • AdGet to production fast with high-performance AMD and NVIDIA GPUs you can spin up in seconds. The definition of operational simplicity.
- PyTorch native quantization and sparsity for training and inference☆2,739Updated this week
- [CVPR 2024 Highlight] DistriFusion: Distributed Parallel Inference for High-Resolution Diffusion Models☆726Dec 2, 2024Updated last year
- End-to-end recipes for optimizing diffusion models with torchao and diffusers (inference and FP8 training).☆397Jan 8, 2026Updated 2 months ago
- ACL 2023☆39Jun 6, 2023Updated 2 years ago
- Fast low-bit matmul kernels in Triton☆438Feb 1, 2026Updated last month
- [ACL 2025 Main] EfficientQAT: Efficient Quantization-Aware Training for Large Language Models☆333Nov 26, 2025Updated 4 months ago
- An efficient GPU support for LLM inference with x-bit quantization (e.g. FP6,FP5).☆276Jul 16, 2025Updated 8 months ago