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get_wikitext2

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

get_wikitext2 appears in the code Syntology harvested for 78 papers, as 57 distinct code bodies found in 82 places (a place is one code body under one paper). At least one of them ran in 11 of the papers; 0 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 get_wikitext2 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 2 of the 57 distinct code bodies named get_wikitext2; 55 are unverified. One tile per status, in the site's fixed vocabulary, each code body counted once:

0ran · honoured contract
0ran · violated contract
0ran · our draft was wrong
0ran · fixture could not drive it
2ran
55unverified
0fingerprinted

Licence is a property of each copy, so it is counted per place: 25 of the 82 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

78 papers shown of 78, newest first; 82 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; 17 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
Rethinking Residual Errors in Compensation-based LLM Quantization added by Syntology 2026-04 (from id) list0830/ResComp/fake_quant/data_utils.py 347f7e0a0b0e4f2f unverified no licence file found · pointer only
Garbage Attention in Large Language Models: <BOS> Sink Heads and Sink-aware Pruning added by Syntology 2026-01 (from id) CASIA-LMC-Lab/FLAP/lib/prune.py 2d79e7ef9f571f3d unverified Apache-2.0 (permissive)
DartQuant: Efficient Rotational Distribution Calibration for LLM Quantization added by Syntology 2025-11 (from id) CAS-CLab/DartQuant/NPU_DartQuant/fake_quant/data_utils.py 8715ffbc2b65ebe5 unverified no licence file found · pointer only
QSVD: Efficient Low-rank Approximation for Unified Query-Key-Value Weight Compression in Low-Precision Vision-Language Models added by Syntology 2025-10 (from id) SAI-Lab-NYU/QSVD/fake_quant/data_utils.py 8715ffbc2b65ebe5 unverified Apache-2.0 (permissive)
PT$^2$-LLM: Post-Training Ternarization for Large Language Models added by Syntology 2025-10 (from id) XIANGLONGYAN/PT2-LLM/pt2_llm/data.py bc9148e3beb23d8f unverified Apache-2.0 (permissive)
arXiv:2507.23279 2025-07 (from id) ZunhaiSu/Super-Experts-Profilling/data_utils.py 24b559c86b2c736b unverified no licence file found · pointer only
arXiv:2507.18553 2025-07 (from id) IST-DASLab/GPTQ-Babai/quantization/data_utils.py 5a96c1f99eeb15d1 unverified MIT (permissive)
arXiv:2507.01299 2025-07 (from id) alibaba/EfficientAI/masquant/datautils.py 1beda835d86a2700 unverified Apache-2.0 (permissive)
arXiv:2506.09351 2025-06 (from id) yuchenblah/DIVE/lib/evaldata.py bbb56ec8bf98c7cf unverified Apache-2.0 (permissive)
arXiv:2506.09351 2025-06 (from id) yuchenblah/DIVE/prune/lib/calidata_random.py 4eadbf13ea0cc98b unverified Apache-2.0 (permissive)
arXiv:2506.09351 2025-06 (from id) yuchenblah/DIVE/prune/lib/calidata_select_8.py f3b69fb5e58d1980 unverified Apache-2.0 (permissive)
SAFE: Finding Sparse and Flat Minima to Improve Pruning 7 Jun 2025 LOG-postech/safe-torch/language/lib/prune.py 041beaad3085295f unverified MIT (permissive)
arXiv:2506.03781 2025-06 (from id) OpenGVLab/OmniQuant/datautils.py 406294899f965c2f unverified MIT (permissive)
DLP: Dynamic Layerwise Pruning in Large Language Models 27 May 2025 ironartisan/dlp/lib/prune.py dd6b0a913778761d unverified Apache-2.0 (permissive)
An Empirical Study of Qwen3 Quantization 4 May 2025 efficient-ml/qwen3-quantization/BiLLM/datautils.py 011909315dfdbc2e unverified Apache-2.0 (permissive)
arXiv:2502.14910 2025-02 (from id) luffy06/EvoP/src/utils/data_utils.py a9e74891f2269718 unverified Apache-2.0 (permissive)
OstQuant: Refining Large Language Model Quantization with Orthogonal and Scaling Transformations for Better Distribution Fitting 23 Jan 2025 brotherhappy/ostquant/utils/data_utils.py 443e801197c1a259 unverified Apache-2.0 (permissive)
RILQ: Rank-Insensitive LoRA-based Quantization Error Compensation for Boosting 2-bit Large Language Model Accuracy 2 Dec 2024 aiha-lab/rilq/rilq_utils/data.py 0cfa46cd7236cebe unverified Apache-2.0 (permissive)
Pushing the Limits of Large Language Model Quantization via the Linearity Theorem 26 Nov 2024 goodevening13/aquakv/aquakv/datautils.py e7d4ca6a631d3399 unverified Apache-2.0 (permissive)
AmoebaLLM: Constructing Any-Shape Large Language Models for Efficient and Instant Deployment 15 Nov 2024 GATECH-EIC/AmoebaLLM/width_shrink/data.py dee8be97b2cf4692 ran MIT (permissive)
BitStack: Any-Size Compression of Large Language Models in Variable Memory Environments 31 Oct 2024 xinghaow99/BitStack/bitstack/utils/data_utils.py ded9ae110292b62d unverified no licence file found · pointer only
WAGLE: Strategic Weight Attribution for Effective and Modular Unlearning in Large Language Models 23 Oct 2024 OPTML-Group/WAGLE/src/dataset/dataset.py dee8be97b2cf4692 ran MIT (permissive)
Quamba: A Post-Training Quantization Recipe for Selective State Space Models 17 Oct 2024 enyac-group/quamba/quamba/data_loaders.py f9f3ddd2d74b2929 unverified licence not identified · pointer only
SLiM: One-shot Quantization and Sparsity with Low-rank Approximation for LLM Weight Compression 12 Oct 2024 mohammad-mozaffari/slim/slim/data.py 83ea71aadeabb49a unverified MIT (permissive)
FlatQuant: Flatness Matters for LLM Quantization 12 Oct 2024 ruikangliu/FlatQuant/flatquant/data_utils.py 4dd3c92f12273ec9 unverified MIT (permissive)
DARE the Extreme: Revisiting Delta-Parameter Pruning For Fine-Tuned Models 12 Oct 2024 vengdeng/darex/utils/getwx.py ecc04d6edadf3e8b unverified no licence file found · pointer only
Is C4 Dataset Optimal for Pruning? An Investigation of Calibration Data for LLM Pruning 9 Oct 2024 abx393/llm-pruning-calibration-data/lib/data.py 8be36298f96f0805 unverified Apache-2.0 (permissive)
MC-MoE: Mixture Compressor for Mixture-of-Experts LLMs Gains More 8 Oct 2024 Aaronhuang-778/MC-MoE/datautils.py 011909315dfdbc2e unverified no licence file found · pointer only
Two Sparse Matrices are Better than One: Sparsifying Neural Networks with Double Sparse Factorization 27 Sep 2024 usamec/double_sparse/datautils.py 011909315dfdbc2e unverified Apache-2.0 (permissive)
MaskLLM: Learnable Semi-Structured Sparsity for Large Language Models 26 Sep 2024 NVlabs/MaskLLM/eval_llama_ppl.py dee8be97b2cf4692 ran no licence file found · pointer only
Eigen Attention: Attention in Low-Rank Space for KV Cache Compression 10 Aug 2024 utkarshsaxena1/eigenattn/datautils.py 46e078681a1cd741 unverified no licence file found · pointer only
EfficientQAT: Efficient Quantization-Aware Training for Large Language Models 10 Jul 2024 opengvlab/efficientqat/datautils_block.py 6d02281de8bfe304 unverified MIT (permissive)
LeanQuant: Accurate Large Language Model Quantization with Loss-Error-Aware Grid 14 Jul 2024 LeanModels/LeanQuant/datautils.py 3bbe14523c98ed57 unverified no licence file found · pointer only
Composable Interventions for Language Models 9 Jul 2024 hartvigsen-group/composable-interventions/sparsellm/lib/data.py dee8be97b2cf4692 ran no licence file found · pointer only
Composable Interventions for Language Models 9 Jul 2024 hartvigsen-group/composable-interventions/sparsellm/lib/datautils.py ce2dbbe16d039626 unverified no licence file found · pointer only
Rethinking Pruning Large Language Models: Benefits and Pitfalls of Reconstruction Error Minimization 21 Jun 2024 log-postech/rethinking-llm-pruning/lib/data.py dee8be97b2cf4692 ran no licence file found · pointer only
Evaluating the Generalization Ability of Quantized LLMs: Benchmark, Analysis, and Toolbox 15 Jun 2024 tsingmaoai/mi-optimize/mi_optimize/datasets/data_loader.py 05cb56deff8da528 unverified licence not identified · pointer only
Examining Post-Training Quantization for Mixture-of-Experts: A Benchmark 12 Jun 2024 unites-lab/moe-quantization/dump_mixtral_routing_distribution.py 219f020120bf3e16 unverified MIT (permissive)
ShiftAddLLM: Accelerating Pretrained LLMs via Post-Training Multiplication-Less Reparameterization 10 Jun 2024 gatech-eic/shiftaddllm/datautils.py 50f2b672b1461e67 unverified Apache-2.0 (permissive)
Pruner-Zero: Evolving Symbolic Pruning Metric from scratch for Large Language Models 5 Jun 2024 pprp/pruner-zero/lib/data.py 07cb1fc598db64e8 unverified MIT (permissive)
Pruner-Zero: Evolving Symbolic Pruning Metric from scratch for Large Language Models 5 Jun 2024 pprp/pruner-zero/lib/gradient_computation.py 3a97b0120e186c09 unverified MIT (permissive)
DuQuant: Distributing Outliers via Dual Transformation Makes Stronger Quantized LLMs 3 Jun 2024 Hsu1023/DuQuant/datautils.py 406294899f965c2f unverified MIT (permissive)
MagR: Weight Magnitude Reduction for Enhancing Post-Training Quantization 2 Jun 2024 AozhongZhang/MagR/datautils.py 8f69762e4b3ffac1 ran MIT (permissive)
Sparse Expansion and Neuronal Disentanglement 24 May 2024 shavit-lab/sparse-expansion/utils/datautils.py 380c081883a25dfd unverified MIT (permissive)
SliM-LLM: Salience-Driven Mixed-Precision Quantization for Large Language Models 23 May 2024 Aaronhuang-778/SliM-LLM/slim-llm-plus/datautils.py 85420819f7a0df4a unverified no licence file found · pointer only
SOUL: Unlocking the Power of Second-Order Optimization for LLM Unlearning 28 Apr 2024 optml-group/soul/src/dataset/dataset.py dee8be97b2cf4692 ran MIT (permissive)
An empirical study of LLaMA3 quantization: from LLMs to MLLMs 22 Apr 2024 macaronlin/llama3-quantization/datautils.py 406294899f965c2f unverified no licence file found · pointer only
AffineQuant: Affine Transformation Quantization for Large Language Models 19 Mar 2024 bytedance/affinequant/datautils.py 406294899f965c2f unverified Apache-2.0 (permissive)
FrameQuant: Flexible Low-Bit Quantization for Transformers 10 Mar 2024 vsingh-group/framequant/datautils.py ab19b8a72ceae217 unverified no licence file found · pointer only
SparseLLM: Towards Global Pruning for Pre-trained Language Models 28 Feb 2024 BaiTheBest/SparseLLM/datautils.py 011909315dfdbc2e unverified Apache-2.0 (permissive)
BESA: Pruning Large Language Models with Blockwise Parameter-Efficient Sparsity Allocation 18 Feb 2024 linkanonymous/besa/utils/data.py a8a15ad5400c13dc unverified no licence file found · pointer only
OneBit: Towards Extremely Low-bit Large Language Models 17 Feb 2024 xuyuzhuang11/OneBit/evaluation/lm_eval/datautils.py 27d7c058388f491d unverified MIT (permissive)
NutePrune: Efficient Progressive Pruning with Numerous Teachers for Large Language Models 15 Feb 2024 lucius-lsr/nuteprune/eval_ppl.py c31f45d1c5adf4cc unverified no licence file found · pointer only
Get More with LESS: Synthesizing Recurrence with KV Cache Compression for Efficient LLM Inference 14 Feb 2024 hdong920/less/src/data_processing.py 5b616f4c20a2e4bb unverified no licence file found · pointer only
BiLLM: Pushing the Limit of Post-Training Quantization for LLMs 6 Feb 2024 aaronhuang-778/billm/datautils.py 011909315dfdbc2e unverified MIT (permissive)
Fast and Effective Weight Update for Pruned Large Language Models 1 Jan 2024 fmfi-compbio/admm-pruning/lib/data.py dee8be97b2cf4692 ran MIT (permissive)
The LLM Surgeon 28 Dec 2023 qualcomm-ai-research/llm-surgeon/datautils.py 8f59498c44ab3856 unverified BSD-3-Clause-Clear · pointer only
Fluctuation-based Adaptive Structured Pruning for Large Language Models 19 Dec 2023 casia-iva-lab/flap/lib/data.py 2d79e7ef9f571f3d unverified Apache-2.0 (permissive)
Beyond Size: How Gradients Shape Pruning Decisions in Large Language Models 8 Nov 2023 rocktimjyotidas/gblm-pruner/gradient_computation.py cb81c679c455e959 unverified MIT (permissive)
Atom: Low-bit Quantization for Efficient and Accurate LLM Serving 29 Oct 2023 efeslab/atom/model/datautils.py f9f3ddd2d74b2929 unverified no licence file found · pointer only
One-Shot Sensitivity-Aware Mixed Sparsity Pruning for Large Language Models 14 Oct 2023 talkking/MixGPT/datautils.py cb4c3b607eb16747 unverified no licence file found · pointer only
QUIK: Towards End-to-End 4-Bit Inference on Generative Large Language Models 13 Oct 2023 ist-daslab/quik/experiments/datautils.py 79092c10d8a25941 unverified Apache-2.0 (permissive)
Dynamic Sparse No Training: Training-Free Fine-tuning for Sparse LLMs 13 Oct 2023 zyxxmu/dsnot/lib/prune.py dee8be97b2cf4692 ran no licence file found · pointer only
QLLM: Accurate and Efficient Low-Bitwidth Quantization for Large Language Models 12 Oct 2023 modeltc/qllm/datautils.py 78a5251d494aa3a6 unverified Apache-2.0 (permissive)
Compressing LLMs: The Truth is Rarely Pure and Never Simple 2 Oct 2023 VITA-Group/llm-kick/GPTQ_experiment/lib/data.py dee8be97b2cf4692 ran no licence file found · pointer only
PB-LLM: Partially Binarized Large Language Models 29 Sep 2023 hahnyuan/binaryllm/gptq_pb/datautils.py 011909315dfdbc2e unverified MIT (permissive)
OmniQuant: Omnidirectionally Calibrated Quantization for Large Language Models 25 Aug 2023 opengvlab/omniquant/datautils.py 406294899f965c2f unverified MIT (permissive)
ChatHome: Development and Evaluation of a Domain-Specific Language Model for Home Renovation 28 Jul 2023 lianjiatech/belle/models/gptq/datautils.py 58476252d7ce923b unverified Apache-2.0 (permissive)
Llama 2: Open Foundation and Fine-Tuned Chat Models 18 Jul 2023 squeezeailab/squeezellm/squeezellm/datautils.py efc347eff314b865 unverified MIT (permissive)
A Simple and Effective Pruning Approach for Large Language Models 20 Jun 2023 crystaleye42/eval-safety/lib/prune.py 1afe3719e760f32e unverified MIT (permissive)
RPTQ: Reorder-based Post-training Quantization for Large Language Models 3 Apr 2023 hahnyuan/rptq4llm/datautils.py 8b5943596ef2fc63 unverified MIT (permissive)
arXiv:openreview_d3RFDLBw01 AI2C-Lab/STLA/data_utils.py ed50f961b7ece8a5 unverified Apache-2.0 (permissive)
arXiv:openreview_Im05D8gFFn mazumder-lab/RobOP/RobOP-ALPS/datautils.py 0a77e3efb0eb0a48 unverified MIT (permissive)
arXiv:openreview_4iupzej9nT hikvision-research/STEP/step/lib/data.py 3bfd595806d439a3 unverified Apache-2.0 (permissive)
arXiv:aaai_28960 CASIA-IVA-Lab/FLAP/lib/data.py 2d79e7ef9f571f3d unverified Apache-2.0 (permissive)
arXiv:2025.naacl-long.237 nbasyl/LLM-FP4/datautils.py 688bbc6963a19c01 unverified MIT (permissive)
arXiv:2025.findings-emnlp.1054 IST-DASLab/sparsegpt/datautils.py 011909315dfdbc2e unverified Apache-2.0 (permissive)
arXiv:2025.acl-long.590 ChnQ/SPIN/src/eval_ppl.py 75b2f62d7ea8f10e unverified Apache-2.0 (permissive)
arXiv:2025.acl-long.498 OpenGVLab/EfficientQAT/datautils_block.py 6d02281de8bfe304 unverified MIT (permissive)
arXiv:2024.findings-naacl.145 LianjiaTech/BELLE/models/gptq/datautils.py 58476252d7ce923b unverified Apache-2.0 (permissive)
arXiv:2024.findings-emnlp.579 RazvanDu/DynamicSlicing/src/slicegpt/data.lib.py dee8be97b2cf4692 ran MIT (permissive)
arXiv:2023.emnlp-main.892 SamsungLabs/Z-Fold/datautils.py f011af2b47206903 unverified 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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