{"url":"/task/data-free-quantization","name":"Data Free Quantization","slug":"data-free-quantization","description_markdown":"**Data Free Quantization** is a technique to achieve a highly accurate quantized model without accessing any training data.\r\n\r\n<span class=\"description-source\">Source: [Qimera: Data-free Quantization with Synthetic Boundary Supporting Samples](https://arxiv.org/abs/2111.02625)</span>","categories":[{"name":"Computer Vision","url":"/area/computer-vision"},{"name":"Methodology","url":"/area/methodology"}],"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28","slug_source":"archive_url"},"counts":{"papers_tagged":37,"papers_with_code":16,"benchmarks":2,"benchmark_tables_in_archive":2,"benchmark_tables_shown":2,"benchmark_tables_withheld_as_spam":0,"benchmark_definition":"a leaderboard table with at least one row; benchmark_tables_shown also counts the zero-row tables; benchmark_tables_in_archive adds the tables withheld as spam","datasets":1,"subtasks":0,"parent_tasks":1},"benchmarks":[{"leaderboard":"/sota/data-free-quantization-on-cifar-100","slug":"data-free-quantization-on-cifar-100","dataset":"CIFAR-100","dataset_url":"/dataset/cifar-100","rows_in_archive":3,"metrics":["CIFAR-100 W4A4 Top-1 Accuracy","CIFAR-100 W5A5 Top-1 Accuracy","CIFAR-100 W6A6 Top-1 Accuracy","CIFAR-100 W8A8 Top-1 Accuracy"],"first_row_in_archive_order":{"model":"ResNet-20 CIFAR-100","paper_title":"Qimera: Data-free Quantization with Synthetic Boundary Supporting Samples","paper_url":"/paper/qimera-data-free-quantization-with-synthetic","paper_date":"2021-11-04","arxiv_id":"2111.02625","code_links":[{"title":"iamkanghyunchoi/qimera","url":"https://github.com/iamkanghyunchoi/qimera"},{"title":"iamkanghyunchoi/ait","url":"https://github.com/iamkanghyunchoi/ait"}],"syntology":{"n":2,"n_ran":2,"n_unverified":0,"n_pointer_only":2}}},{"leaderboard":"/sota/data-free-quantization-on-cifar10","slug":"data-free-quantization-on-cifar10","dataset":"CIFAR10","dataset_url":"/dataset/cifar-10","rows_in_archive":3,"metrics":["CIFAR-10 W4A4 Top-1 Accuracy","CIFAR-10 W5A5 Top-1 Accuracy","CIFAR-10 W6A6 Top-1 Accuracy","CIFAR-10 W8A8 Top-1 Accuracy"],"first_row_in_archive_order":{"model":"ResNet-20 CIFAR-10","paper_title":"Qimera: Data-free Quantization with Synthetic Boundary Supporting Samples","paper_url":"/paper/qimera-data-free-quantization-with-synthetic","paper_date":"2021-11-04","arxiv_id":"2111.02625","code_links":[{"title":"iamkanghyunchoi/qimera","url":"https://github.com/iamkanghyunchoi/qimera"},{"title":"iamkanghyunchoi/ait","url":"https://github.com/iamkanghyunchoi/ait"}],"syntology":{"n":2,"n_ran":2,"n_unverified":0,"n_pointer_only":2}}}],"datasets":[{"url":"/dataset/cifar-100","name":"CIFAR-100","full_name":"","num_papers_in_archive":9045}],"subtasks":[],"parent_tasks":[{"url":"/task/quantization","name":"Quantization"}],"papers":{"order":"repositories listed in the archive (desc), then date (desc); the archive holds no stars","population":"papers tagged with this task that list at least one repository in the archive","shown":16,"of":16,"tagged_in_all":37,"items":[{"url":"/paper/data-free-quantization-through-weight","title":"Data-Free Quantization Through Weight Equalization and Bias Correction","date":"2019-06-11","arxiv_id":"1906.04721","repositories_listed":5,"syntology":null},{"url":"/paper/llm-qat-data-free-quantization-aware-training","title":"LLM-QAT: Data-Free Quantization Aware Training for Large Language Models","date":"2023-05-29","arxiv_id":"2305.17888","repositories_listed":3,"syntology":{"n":3,"n_ran":3,"n_unverified":0,"n_pointer_only":3}},{"url":"/paper/generative-low-bitwidth-data-free","title":"Generative Low-bitwidth Data Free Quantization","date":"2020-03-07","arxiv_id":"2003.03603","repositories_listed":3,"syntology":null},{"url":"/paper/zeroq-a-novel-zero-shot-quantization","title":"ZeroQ: A Novel Zero Shot Quantization Framework","date":"2020-01-01","arxiv_id":"2001.00281","repositories_listed":3,"syntology":{"n":19,"n_ran":4,"n_unverified":15,"n_pointer_only":0}},{"url":"/paper/qimera-data-free-quantization-with-synthetic","title":"Qimera: Data-free Quantization with Synthetic Boundary Supporting Samples","date":"2021-11-04","arxiv_id":"2111.02625","repositories_listed":2,"syntology":{"n":2,"n_ran":2,"n_unverified":0,"n_pointer_only":2}},{"url":"/paper/dvd-quant-data-free-video-diffusion","title":"DVD-Quant: Data-free Video Diffusion Transformers Quantization","date":"2025-05-24","arxiv_id":"2505.18663","repositories_listed":1,"syntology":null},{"url":"/paper/relation-guided-adversarial-learning-for-data","title":"Relation-Guided Adversarial Learning for Data-free Knowledge Transfer","date":"2024-12-16","arxiv_id":"2412.11380","repositories_listed":1,"syntology":null},{"url":"/paper/causal-dfq-causality-guided-data-free-network","title":"Causal-DFQ: Causality Guided Data-free Network Quantization","date":"2023-09-24","arxiv_id":"2309.13682","repositories_listed":1,"syntology":null},{"url":"/paper/towards-accurate-data-free-quantization-for","title":"Towards Accurate Post-training Quantization for Diffusion Models","date":"2023-05-30","arxiv_id":"2305.18723","repositories_listed":1,"syntology":{"n":5,"n_ran":5,"n_unverified":0,"n_pointer_only":2}},{"url":"/paper/adaptive-data-free-quantization","title":"Adaptive Data-Free Quantization","date":"2023-03-13","arxiv_id":"2303.06869","repositories_listed":1,"syntology":null},{"url":"/paper/rethinking-data-free-quantization-as-a-zero","title":"Rethinking Data-Free Quantization as a Zero-Sum Game","date":"2023-02-19","arxiv_id":"2302.09572","repositories_listed":1,"syntology":{"n":3,"n_ran":1,"n_unverified":2,"n_pointer_only":0}},{"url":"/paper/psaq-vit-v2-towards-accurate-and-general-data","title":"PSAQ-ViT V2: Towards Accurate and General Data-Free Quantization for Vision Transformers","date":"2022-09-13","arxiv_id":"2209.05687","repositories_listed":1,"syntology":{"n":8,"n_ran":5,"n_unverified":3,"n_pointer_only":1}},{"url":"/paper/it-s-all-in-the-teacher-zero-shot","title":"It's All In the Teacher: Zero-Shot Quantization Brought Closer to the Teacher","date":"2022-03-31","arxiv_id":"2203.17008","repositories_listed":1,"syntology":null},{"url":"/paper/patch-similarity-aware-data-free-quantization","title":"Patch Similarity Aware Data-Free Quantization for Vision Transformers","date":"2022-03-04","arxiv_id":"2203.02250","repositories_listed":1,"syntology":null},{"url":"/paper/squant-on-the-fly-data-free-quantization-via-1","title":"SQuant: On-the-Fly Data-Free Quantization via Diagonal Hessian Approximation","date":"2022-02-14","arxiv_id":"2202.07471","repositories_listed":1,"syntology":{"n":2,"n_ran":0,"n_unverified":2,"n_pointer_only":2}},{"url":"/paper/diverse-sample-generation-pushing-the-limit","title":"Diverse Sample Generation: Pushing the Limit of Generative Data-free Quantization","date":"2021-09-01","arxiv_id":"2109.00212","repositories_listed":1,"syntology":null}],"syntology_records":7,"syntology_note":"a paper without a record is not a recorded non-run: it may lack an arXiv id or simply be absent from the graph layer"},"description_links":{"kept":0,"unwrapped_to_text":0,"bare_urls_linked":0,"relative_images_dropped":0,"rule":"internal links are kept only when the target slug exists in the catalog"},"syntology":{"read_at":"2026-09-24T18:15:14+00:00","claim":"Per-sample execution status on synthesized fixtures ('ran N of M samples'); not a correctness claim and not a ranking signal.","status_vocabulary":{"ran_honours":"ran, honoured the contract we drafted","ran_violates":"ran, violated the contract we drafted","ran_draft_wrong":"ran; our contract draft was wrong, not the code","ran_fixture":"ran; our fixture could not drive it","ran":"ran on a synthesized input","unverified":"unverified (harvested, no recorded run)"}},"not_shown":{"libraries":"the archive has no per-task library table","trend_sparklines":"the Trend column of the benchmarks table was a rendered image; it is not in the archive","social_and_latest_sorts":"stars and social signals are not in the archive"}}