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quantize

Syntologyentry name in harvested coderead from the graph 2026-09-24

quantize appears in the code Syntology harvested for 70 papers, as 36 distinct code bodies found in 71 places (a place is one code body under one paper). At least one of them ran in 49 of the papers; 7 of the code bodies carry a behaviour fingerprint.

What this page is not. Routines are grouped here by the exact string of their function or class name. Nothing asserts that two samples named quantize do the same thing, share code, or are comparable; the name is a string, not an identity. Behaviour outputs (what a fingerprinted sample returned on the shared battery) are not in this export and are not shown here; the graph at syntology.ai holds them. "Ran" means executed on a synthesized fixture, not that the code is correct or reproduces a paper.

Samples Syntology

Syntology ran 17 of the 36 distinct code bodies named quantize; 19 are unverified. One tile per status, in the site's fixed vocabulary, each code body counted once:

2ran · honoured contract
0ran · violated contract
3ran · our draft was wrong
5ran · fixture could not drive it
7ran
19unverified
7fingerprinted

Licence is a property of each copy, so it is counted per place: 22 of the 71 places are pointer only (Syntology does not serve that copy's text). This site shows no code text for any sample; every row below links to the file in its repository where the record names one.

“Ran” means the sample executed on a synthesized input; it does not mean the output is correct. “Honoured” and “violated” refer to a contract Syntology drafted from the code itself; “our draft was wrong” and “fixture could not drive it” are failures of Syntology's instrument, not of the code, and those samples did run. The ran count above is every status except unverified, the same rule as each paper page.

Papers

70 papers shown of 70, newest first; 71 places in the table. A paper with no recorded date is placed by the month its arXiv id encodes, shown in the Date column as YYYY-MM (from id). One row per place: a paper whose repository defines the name more than once appears more than once, and the same code body held for several papers appears once under each, with the same status. Titles and dates are the archive's archive 2025-07-28 for papers in the archive, and the graph's for 5 papers added by Syntology; 5 papers have no page here and are shown by arXiv id only. Status and fingerprint are Syntology's record of each code body; licence is recorded for each place. The File cell ends with the code body's code_sha256, Syntology's identity for that exact code: an agent fetches the stored sample with Syntology's MCP tool get_code(code_sha256="…") (how to connect); click an identity to copy that call.

PaperDateFileStatus SyntologyLicence
LongSpike: Fractional Order Spiking State Space Models for Efficient Long Sequence Learning added by Syntology 2026-06 (from id) xinruihe389-commits/LongSpike/src/dataloaders/audio.py 1631cd936e9b1a90 ran licence not identified · pointer only
FASQ: Flexible Accelerated Subspace Quantization for Calibration-Free LLM Compression added by Syntology 2026-05 (from id) ist-daslab/gptq/quant.py 41c57e55d21c4d96 ran · fixture could not drive it Apache-2.0 (permissive)
AIRE-Prune: Asymptotic Impulse-Response Energy for State Pruning in State Space Models added by Syntology 2026-02 (from id) falcon-arrow/AIRE-Prune/s5/dataloaders/audio.py 1631cd936e9b1a90 ran Apache-2.0 (permissive)
Towards Understanding Best Practices for Quantization of Vision-Language Models added by Syntology 2026-01 (from id) gautomdas/mmq/gptq_blip2.py 41c57e55d21c4d96 ran · fixture could not drive it no licence file found · pointer only
AnyBCQ: Hardware Efficient Flexible Binary-Coded Quantization for Multi-Precision LLMs added by Syntology 2025-10 (from id) naver-aics/anybcq/anybcq/quantization/anybcq.py 121de7b5e46dc9b5 unverified Apache-2.0 (permissive)
Layer-Adaptive State Pruning for Deep State Space Models 5 Nov 2024 msgwak/LAST/s5/dataloaders/audio.py 1631cd936e9b1a90 ran no licence file found · pointer only
Residual vector quantization for KV cache compression in large language model 21 Oct 2024 iankur/vqllm/vqllm/quantizer/utils.py af4e407a59eea9ab unverified MIT (permissive)
SLiM: One-shot Quantization and Sparsity with Low-rank Approximation for LLM Weight Compression 12 Oct 2024 mohammad-mozaffari/slim/slim/sparsegpt.py 50ceff9d34d96d60 ran MIT (permissive)
LeanQuant: Accurate Large Language Model Quantization with Loss-Error-Aware Grid 14 Jul 2024 LeanModels/LeanQuant/quant.py 41c57e55d21c4d96 ran · fixture could not drive it no licence file found · pointer only
AdaZeta: Adaptive Zeroth-Order Tensor-Train Adaption for Memory-Efficient Large Language Models Fine-Tuning 26 Jun 2024 yifanycc/adazeta/large_models/loretta/tuners/loretta_adp.py e52c09d7918640f3 ran GPL-3.0 (copyleft) · pointer only
Attention-aware Post-training Quantization without Backpropagation 19 Jun 2024 SamsungLabs/BoA/quantizers/boa.py b6a41484b3b9b656 ran · our draft was wrong licence not identified · pointer only
Examining Post-Training Quantization for Mixture-of-Experts: A Benchmark 12 Jun 2024 unites-lab/moe-quantization/auto_gptq/quantization/quantizer.py 41c57e55d21c4d96 ran · fixture could not drive it MIT (permissive)
P-SpikeSSM: Harnessing Probabilistic Spiking State Space Models for Long-Range Dependency Tasks 5 Jun 2024 NeuroCompLab-psu/PSpikeSSMs/src/dataloaders/audio.py 1631cd936e9b1a90 ran MIT (permissive)
MagR: Weight Magnitude Reduction for Enhancing Post-Training Quantization 2 Jun 2024 AozhongZhang/MagR/quant.py 41c57e55d21c4d96 ran · fixture could not drive it MIT (permissive)
Sparse Expansion and Neuronal Disentanglement 24 May 2024 shavit-lab/sparse-expansion/utils/quant.py 50ceff9d34d96d60 ran MIT (permissive)
FrameQuant: Flexible Low-Bit Quantization for Transformers 10 Mar 2024 vsingh-group/framequant/quant.py ff8ffe5499b035fb ran no licence file found · pointer only
NiteDR: Nighttime Image De-Raining with Cross-View Sensor Cooperative Learning for Dynamic Driving Scenes 28 Feb 2024 cidanshi/nitedr-nighttime-image-de-raining/utils_image.py b1c1acd3c89a39f3 ran fingerprinted no licence file found · pointer only
SparseLLM: Towards Global Pruning for Pre-trained Language Models 28 Feb 2024 BaiTheBest/SparseLLM/quant.py 50ceff9d34d96d60 ran Apache-2.0 (permissive)
Adaptive Convolutional Neural Network for Image Super-resolution 24 Feb 2024 hellloxiaotian/adsrnet/HDSRNet/utility.py b1c1acd3c89a39f3 ran fingerprinted no licence file found · pointer only
State Space Models for Event Cameras 23 Feb 2024 lindermanlab/S5/s5/dataloaders/audio.py 1631cd936e9b1a90 ran MIT (permissive)
ASVD: Activation-aware Singular Value Decomposition for Compressing Large Language Models 10 Dec 2023 hahnyuan/asvd4llm/quantization.py 41c57e55d21c4d96 ran · fixture could not drive it MIT (permissive)
DeltaZip: Efficient Serving of Multiple Full-Model-Tuned LLMs 8 Dec 2023 eth-easl/deltazip/deltazip/core/quant.py 8f8eedd720c09255 ran · fixture could not drive it Apache-2.0 (permissive)
In-Context Learning for MIMO Equalization Using Transformer-Based Sequence Models 10 Nov 2023 kclip/icl-equalization/EQ_data.py 7d88083dd6876883 ran no licence file found · pointer only
$Λ$-Split: A Privacy-Preserving Split Computing Framework for Cloud-Powered Generative AI 23 Oct 2023 nishio-laboratory/lambda_split/preliminary/text_to_image_base.py dabcd15634e546ca ran fingerprinted MIT (permissive)
Never Train from Scratch: Fair Comparison of Long-Sequence Models Requires Data-Driven Priors 4 Oct 2023 idoamos/not-from-scratch/src/dataloaders/audio.py 1631cd936e9b1a90 ran MIT (permissive)
PB-LLM: Partially Binarized Large Language Models 29 Sep 2023 hahnyuan/binaryllm/gptq_pb/high_quant.py 50ceff9d34d96d60 ran MIT (permissive)
Differentiable JPEG: The Devil is in the Details 13 Sep 2023 necla-ml/diff-jpeg/diff_jpeg/encode.py 544144a7ead4418d unverified BSD-3-Clause (permissive)
Toward Sufficient Spatial-Frequency Interaction for Gradient-aware Underwater Image Enhancement 8 Sep 2023 zhihefang/SFGNet/utils.py b1c1acd3c89a39f3 ran fingerprinted no licence file found · pointer only
ChatHome: Development and Evaluation of a Domain-Specific Language Model for Home Renovation 28 Jul 2023 lianjiatech/belle/models/gptq/quant.py 50ceff9d34d96d60 ran Apache-2.0 (permissive)
OWQ: Outlier-Aware Weight Quantization for Efficient Fine-Tuning and Inference of Large Language Models 4 Jun 2023 xvyaward/qeft/qeft/quant.py a166c4b79b21b60a ran · our draft was wrong fingerprinted MIT (permissive)
AWQ: Activation-aware Weight Quantization for LLM Compression and Acceleration 1 Jun 2023 identical code first harvested elsewhere a166c4b79b21b60a ran · our draft was wrong fingerprinted licence of this copy not recorded
QLoRA: Efficient Finetuning of Quantized LLMs 23 May 2023 shuxueslpi/chatGLM-6B-QLoRA/merge_lora_and_quantize.py 9b9c46fa571c5690 ran · our draft was wrong no licence file found · pointer only
Learning Semantic-Aware Knowledge Guidance for Low-Light Image Enhancement 14 Apr 2023 langmanbusi/semantic-aware-low-light-image-enhancement/DRBN_SKF/src/utility.py b1c1acd3c89a39f3 ran fingerprinted MIT (permissive)
Vector Quantized Time Series Generation with a Bidirectional Prior Model 8 Mar 2023 ml4its/timevqvae/src/timevqvae/utils/nn.py e323b33b21b740e9 unverified MIT (permissive)
ViTALiTy: Unifying Low-rank and Sparse Approximation for Vision Transformer Acceleration with a Linear Taylor Attention 9 Nov 2022 GATECH-EIC/ViTaLiTy/src/quantize.py 3f1de05d36b1a783 unverified Apache-2.0 recorded; this copy not marked cleared · pointer only
Red Teaming Language Models to Reduce Harms: Methods, Scaling Behaviors, and Lessons Learned 23 Aug 2022 lyqcom/red30/metrics.py aa9d5683a00262dc unverified Apache-2.0 (permissive)
Simplified State Space Layers for Sequence Modeling 9 Aug 2022 leonty1/deepldnn/src/dataloaders/audio.py 1631cd936e9b1a90 ran Apache-2.0 (permissive)
Optimal Clipping and Magnitude-aware Differentiation for Improved Quantization-aware Training 13 Jun 2022 zavareh1/ClippedQuantFL/model/cifar10DET_quantizedmaxscalar.py 00cb1200d5219763 unverified MIT (permissive)
UViM: A Unified Modeling Approach for Vision with Learned Guiding Codes 20 May 2022 google-research/big_vision/big_vision/models/proj/uvim/vit.py 0abb725ab0e6cfb6 unverified Apache-2.0 (permissive)
Missing Data Imputation and Acquisition with Deep Hierarchical Models and Hamiltonian Monte Carlo 9 Feb 2022 ipeis/HH-VAEM/src/mutual_information.py 6ad9b288c102f26a unverified MIT (permissive)
Unsupervised Degradation Representation Learning for Blind Super-Resolution 1 Apr 2021 LongguangWang/DASR/utility.py b1c1acd3c89a39f3 ran fingerprinted MIT (permissive)
Hierarchical Autoregressive Modeling for Neural Video Compression 19 Oct 2020 buggyyang/hier-video-compression/models.py 771654b864892612 ran · fixture could not drive it no licence file found · pointer only
Invertible Image Rescaling 12 May 2020 andreasfloros/IRN/utils.py 852a7c9de098c70e unverified MIT (permissive)
Learning A Single Network for Scale-Arbitrary Super-Resolution 8 Apr 2020 LongguangWang/ArbSR/utility.py b1c1acd3c89a39f3 ran fingerprinted MIT (permissive)
Closed-loop Matters: Dual Regression Networks for Single Image Super-Resolution 16 Mar 2020 guoyongcs/DRN/utility.py b1c1acd3c89a39f3 ran fingerprinted MIT (permissive)
Zooming Slow-Mo: Fast and Accurate One-Stage Space-Time Video Super-Resolution 26 Feb 2020 YapengTian/TDAN-VSR-CVPR-2020/solver.py 91df9c98a6149376 unverified MIT (permissive)
Private Summation in the Multi-Message Shuffle Model 2020-02 (from id) adriagascon/shuffledpsummation/real_sum_estimator.py c7d57ba9a9e79cf4 unverified no licence file found · pointer only
Post-Training Piecewise Linear Quantization for Deep Neural Networks 31 Jan 2020 jakc4103/piecewise-quantization/utils/quantize.py ce590a0abac42625 ran · fixture could not drive it fingerprinted no licence file found · pointer only
Fractional Skipping: Towards Finer-Grained Dynamic CNN Inference 3 Jan 2020 Torment123/DFS/models.py 7d546c0310d1c591 ran · fixture could not drive it fingerprinted no licence file found · pointer only
Deformable Non-local Network for Video Super-Resolution 24 Sep 2019 wh1h/DNLN/src/utility.py b1c1acd3c89a39f3 ran fingerprinted MIT (permissive)
Deformable Non-local Network for Video Super-Resolution 24 Sep 2019 wh1h/DNLN/src/trainer.py 91df9c98a6149376 unverified MIT (permissive)
Robust Invisible Video Watermarking with Attention 3 Sep 2019 DAI-Lab/RivaGAN/rivagan/rivagan.py 34dad53061b916d4 ran · honoured contract fingerprinted MIT (permissive)
Densely Residual Laplacian Super-Resolution 28 Jun 2019 saeed-anwar/DRLN/TestCode/code/utility.py b1c1acd3c89a39f3 ran fingerprinted MIT (permissive)
Sparsified SGD with Memory 20 Sep 2018 epfml/sparsifiedSGD/qsgd.py 96442fc743ff7faf unverified Apache-2.0 (permissive)
Conv-TasNet: Surpassing Ideal Time-Frequency Magnitude Masking for Speech Separation 20 Sep 2018 IliasDG/Demucs_Project/quantize.py 95678855edc371ba unverified MIT recorded; this copy not marked cleared · pointer only
Neural Ordinary Differential Equations 19 Jun 2018 HolmesShuan/OISR-PyTorch/NTIRE2019/OISR/src/utility.py b1c1acd3c89a39f3 ran fingerprinted BSD-2-Clause (permissive)
RedNet: Residual Encoder-Decoder Network for indoor RGB-D Semantic Segmentation 4 Jun 2018 lyqcom/rednet30/Initial/metrics.py aa9d5683a00262dc unverified Apache-2.0 (permissive)
Maintaining Natural Image Statistics with the Contextual Loss 13 Mar 2018 subeeshvasu/2018_subeesh_epsr_eccvw/EPSR_testcode/code/utility.py b1c1acd3c89a39f3 ran fingerprinted MIT (permissive)
Deep Back-Projection Networks For Super-Resolution 7 Mar 2018 LEEPEIQIN/EDSR/src/utility.py b1c1acd3c89a39f3 ran fingerprinted MIT (permissive)
signSGD: Compressed Optimisation for Non-Convex Problems 13 Feb 2018 identical code first harvested elsewhere 8c0c528956fb38b9 unverified licence of this copy not recorded
Attacking Binarized Neural Networks 1 Nov 2017 AngusG/cleverhans-attacking-bnns/cleverhans_tutorials/resnet_model.py fb9a05da9fb0eb6e unverified MIT recorded; this copy not marked cleared · pointer only
Trained Ternary Quantization 4 Dec 2016 vinsis/ternary-quantization/quantification.py d68f2c13b2387a62 ran · honoured contract fingerprinted MIT (permissive)
QSGD: Communication-Efficient SGD via Gradient Quantization and Encoding 7 Oct 2016 scottjiao/Gradient-Compression-Methods/utils.py 8c0c528956fb38b9 unverified no licence file found · pointer only
Neural NILM: Deep Neural Networks Applied to Energy Disaggregation 23 Jul 2015 JackKelly/neuralnilm_prototype/neuralnilm/source.py a4c12d1effb52c55 unverified MIT (permissive)
Going Deeper with Convolutions 17 Sep 2014 HolmesShuan/AIM2020-RealSR/src/utility.py 7185b10fd4807808 unverified BSD-2-Clause (permissive)
Intriguing properties of neural networks 21 Dec 2013 anishathalye/neural-hash-collider/collide.py 9e4646f8887baf9a unverified MIT (permissive)
arXiv:openreview_d3RFDLBw01 AI2C-Lab/STLA/quantizer.py 41c57e55d21c4d96 ran · fixture could not drive it Apache-2.0 (permissive)
arXiv:Deng_LAU-Net_Latitude_Adaptive_Upscaling_Network_for_Omnidirectional_Image_Super-Resolution_CVPR_2021_paper wangh-allen/LAU-Net/utility.py b1c1acd3c89a39f3 ran fingerprinted Apache-2.0 (permissive)
arXiv:2025.findings-emnlp.1054 IST-DASLab/sparsegpt/quant.py 50ceff9d34d96d60 ran Apache-2.0 (permissive)
arXiv:2024.findings-naacl.145 LianjiaTech/BELLE/models/gptq/quant.py 50ceff9d34d96d60 ran Apache-2.0 (permissive)
arXiv:2023.emnlp-main.892 SamsungLabs/Z-Fold/quant.py 41c57e55d21c4d96 ran · fixture could not drive it MIT (permissive)

This site shows no code text; each File cell links to the file on GitHub at the repository's current default branch, which may have changed since the harvest. "Pointer only" means Syntology does not serve that copy's text, for one of four reasons: no licence file was found; the licence was not identified; the licence is recorded as permissive but that copy's record is not marked cleared; or the licence is outside the permissive list Syntology serves text under (MIT, Apache-2.0, BSD and similar). Some licences outside that list permit redistribution, such as WTFPL, and GPL-3.0 under its conditions; they are simply not on the list. Hover a licence cell for the reason. Per-sample records for a paper are on its paper page under "Code Syntology ran".

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