HuangOwen / Awesome-LLM-CompressionView external linksLinks
Awesome LLM compression research papers and tools.
β1,776Nov 10, 2025Updated 3 months ago
Alternatives and similar repositories for Awesome-LLM-Compression
Users that are interested in Awesome-LLM-Compression are comparing it to the libraries listed below
Sorting:
- A curated list for Efficient Large Language Modelsβ1,950Jun 17, 2025Updated 7 months ago
- πA curated list of Awesome LLM/VLM Inference Papers with Codes: Flash-Attention, Paged-Attention, WINT8/4, Parallelism, etc.πβ4,990Jan 18, 2026Updated 3 weeks ago
- [TMLR 2024] Efficient Large Language Models: A Surveyβ1,253Jun 23, 2025Updated 7 months ago
- [ICML 2023] SmoothQuant: Accurate and Efficient Post-Training Quantization for Large Language Modelsβ1,607Jul 12, 2024Updated last year
- Code for Neurips24 paper: QuaRot, an end-to-end 4-bit inference of large language models.β482Nov 26, 2024Updated last year
- [EMNLP 2024 & AAAI 2026] A powerful toolkit for compressing large models including LLMs, VLMs, and video generative models.β676Nov 19, 2025Updated 2 months ago
- [MLSys'25] QServe: W4A8KV4 Quantization and System Co-design for Efficient LLM Serving; [MLSys'25] LServe: Efficient Long-sequence LLM Seβ¦β812Mar 6, 2025Updated 11 months ago
- [ICML 2024] KIVI: A Tuning-Free Asymmetric 2bit Quantization for KV Cacheβ356Nov 20, 2025Updated 2 months ago
- A list of papers, docs, codes about model quantization. This repo is aimed to provide the info for model quantization research, we are coβ¦β2,325Jan 29, 2026Updated 2 weeks ago
- [MLSys'24] Atom: Low-bit Quantization for Efficient and Accurate LLM Servingβ336Jul 2, 2024Updated last year
- π° Must-read papers on KV Cache Compression (constantly updating π€).β658Sep 30, 2025Updated 4 months ago
- [MLSys 2024 Best Paper Award] AWQ: Activation-aware Weight Quantization for LLM Compression and Accelerationβ3,436Jul 17, 2025Updated 6 months ago
- [ICLR2024 spotlight] OmniQuant is a simple and powerful quantization technique for LLMs.β887Nov 26, 2025Updated 2 months ago
- A simple and effective LLM pruning approach.β848Aug 9, 2024Updated last year
- [NeurIPS 2023] LLM-Pruner: On the Structural Pruning of Large Language Models. Support Llama-3/3.1, Llama-2, LLaMA, BLOOM, Vicuna, Baichβ¦β1,106Oct 7, 2024Updated last year
- π° Must-read papers and blogs on Speculative Decoding β‘οΈβ1,121Jan 24, 2026Updated 3 weeks ago
- An algorithm for weight-activation quantization (W4A4, W4A8) of LLMs, supporting both static and dynamic quantizationβ172Nov 26, 2025Updated 2 months ago
- [ICML 2024] SqueezeLLM: Dense-and-Sparse Quantizationβ713Aug 13, 2024Updated last year
- [ICML 2025] Official PyTorch implementation of "FlatQuant: Flatness Matters for LLM Quantization"β211Nov 25, 2025Updated 2 months ago
- List of papers related to neural network quantization in recent AI conferences and journals.β800Mar 27, 2025Updated 10 months ago
- [NeurIPS'24 Spotlight, ICLR'25, ICML'25] To speed up Long-context LLMs' inference, approximate and dynamic sparse calculate the attentionβ¦β1,183Sep 30, 2025Updated 4 months ago
- Fast Hadamard transform in CUDA, with a PyTorch interfaceβ284Oct 19, 2025Updated 3 months ago
- Code for the ICLR 2023 paper "GPTQ: Accurate Post-training Quantization of Generative Pretrained Transformers".β2,256Mar 27, 2024Updated last year
- Code repo for the paper "SpinQuant LLM quantization with learned rotations"β372Feb 14, 2025Updated last year
- [NeurIPS 2024] KVQuant: Towards 10 Million Context Length LLM Inference with KV Cache Quantizationβ404Aug 13, 2024Updated last year
- [NeurIPS'23] H2O: Heavy-Hitter Oracle for Efficient Generative Inference of Large Language Models.β502Aug 1, 2024Updated last year
- BitBLAS is a library to support mixed-precision matrix multiplications, especially for quantized LLM deployment.β752Aug 6, 2025Updated 6 months ago
- Code for the ICML 2023 paper "SparseGPT: Massive Language Models Can Be Accurately Pruned in One-Shot".β871Aug 20, 2024Updated last year
- [ICML 2024] Quest: Query-Aware Sparsity for Efficient Long-Context LLM Inferenceβ372Jul 10, 2025Updated 7 months ago
- FP16xINT4 LLM inference kernel that can achieve near-ideal ~4x speedups up to medium batchsizes of 16-32 tokens.β1,011Sep 4, 2024Updated last year
- Awesome list for LLM pruning.β282Oct 11, 2025Updated 4 months ago
- Model Compression Toolbox for Large Language Models and Diffusion Modelsβ753Aug 14, 2025Updated 6 months ago
- [EMNLP 2024] RoLoRA: Fine-tuning Rotated Outlier-free LLMs for Effective Weight-Activation Quantizationβ37Sep 24, 2024Updated last year
- FlashInfer: Kernel Library for LLM Servingβ4,935Updated this week
- Code repo for the paper "LLM-QAT Data-Free Quantization Aware Training for Large Language Models"β322Mar 4, 2025Updated 11 months ago
- A framework for few-shot evaluation of language models.β11,393Updated this week
- GEAR: An Efficient KV Cache Compression Recipefor Near-Lossless Generative Inference of LLMβ176Jul 12, 2024Updated last year
- π° Must-read papers and blogs on LLM based Long Context Modeling π₯β1,910Jan 22, 2026Updated 3 weeks ago
- A list of papers, docs, codes about efficient AIGC. This repo is aimed to provide the info for efficient AIGC research, including languagβ¦β205Feb 10, 2025Updated last year