| ProjQ: Project-and-Quantize for Adapter-Aware LLM Compression added by Syntology |
2026-06 (from id) |
yy9301/ProjQ/datautils.py d313d28375a69ab9 |
ran
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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 1d035152616b1d19 |
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 1b0736b420b42de6 |
unverified |
Apache-2.0 (permissive) |
| arXiv:2506.09351 |
2025-06 (from id) |
yuchenblah/DIVE/lib/evaldata.py 6086a5ef9f4b6277 |
unverified |
Apache-2.0 (permissive) |
| arXiv:2506.03781 |
2025-06 (from id) |
OpenGVLab/OmniQuant/datautils.py bd4f416e271c2fb5 |
unverified |
MIT (permissive) |
| DLP: Dynamic Layerwise Pruning in Large Language Models |
27 May 2025 |
ironartisan/dlp/lib/prune.py 6286af97d1bc3835 |
unverified |
Apache-2.0 (permissive) |
| An Empirical Study of Qwen3 Quantization |
4 May 2025 |
efficient-ml/qwen3-quantization/BiLLM/datautils.py a7cbf4fc49c71e03 |
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 330e351424a2b37b |
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 a7cbf4fc49c71e03 |
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 a7cbf4fc49c71e03 |
unverified |
Apache-2.0 (permissive) |
| LeanQuant: Accurate Large Language Model Quantization with Loss-Error-Aware Grid |
14 Jul 2024 |
LeanModels/LeanQuant/datautils.py f810b1ddd55b5375 |
ran
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no licence file found · pointer only |
| Composable Interventions for Language Models |
9 Jul 2024 |
hartvigsen-group/composable-interventions/sparsellm/lib/datautils.py 3a6ac4325dad94a4 |
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 3b99c66b488c6dc0 |
unverified |
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 f6e95ffd6622a1b4 |
unverified |
licence not identified · pointer only |
| ShiftAddLLM: Accelerating Pretrained LLMs via Post-Training Multiplication-Less Reparameterization |
10 Jun 2024 |
gatech-eic/shiftaddllm/datautils.py 7f7c3deb52669856 |
unverified |
Apache-2.0 (permissive) |
| DuQuant: Distributing Outliers via Dual Transformation Makes Stronger Quantized LLMs |
3 Jun 2024 |
Hsu1023/DuQuant/datautils.py bd4f416e271c2fb5 |
unverified |
MIT (permissive) |
| MagR: Weight Magnitude Reduction for Enhancing Post-Training Quantization |
2 Jun 2024 |
AozhongZhang/MagR/datautils.py 3a6ac4325dad94a4 |
unverified |
MIT (permissive) |
| Sparse Expansion and Neuronal Disentanglement |
24 May 2024 |
shavit-lab/sparse-expansion/utils/datautils.py a7cbf4fc49c71e03 |
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 bd4f416e271c2fb5 |
unverified |
no licence file found · pointer only |
| An empirical study of LLaMA3 quantization: from LLMs to MLLMs |
22 Apr 2024 |
macaronlin/llama3-quantization/datautils.py bd4f416e271c2fb5 |
unverified |
no licence file found · pointer only |
| AffineQuant: Affine Transformation Quantization for Large Language Models |
19 Mar 2024 |
bytedance/affinequant/datautils.py bd4f416e271c2fb5 |
unverified |
Apache-2.0 (permissive) |
| FrameQuant: Flexible Low-Bit Quantization for Transformers |
10 Mar 2024 |
vsingh-group/framequant/datautils.py 3265f727a396f15d |
unverified |
no licence file found · pointer only |
| SparseLLM: Towards Global Pruning for Pre-trained Language Models |
28 Feb 2024 |
BaiTheBest/SparseLLM/datautils.py a7cbf4fc49c71e03 |
unverified |
Apache-2.0 (permissive) |
| BESA: Pruning Large Language Models with Blockwise Parameter-Efficient Sparsity Allocation |
18 Feb 2024 |
linkanonymous/besa/utils/data.py 3c22f52a4d22d5d2 |
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 90dfde049522b716 |
unverified |
MIT (permissive) |
| NutePrune: Efficient Progressive Pruning with Numerous Teachers for Large Language Models |
15 Feb 2024 |
lucius-lsr/nuteprune/eval_ppl.py 6ada2617ee1d6042 |
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 a7cbf4fc49c71e03 |
unverified |
MIT (permissive) |
| Fluctuation-based Adaptive Structured Pruning for Large Language Models |
19 Dec 2023 |
casia-iva-lab/flap/lib/data.py 1d035152616b1d19 |
unverified |
Apache-2.0 (permissive) |
| Atom: Low-bit Quantization for Efficient and Accurate LLM Serving |
29 Oct 2023 |
efeslab/atom/model/datautils.py d71aa8d60119d553 |
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 7d205a0e647139ae |
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 614c29352fee019e |
ran
|
Apache-2.0 (permissive) |
| Dynamic Sparse No Training: Training-Free Fine-tuning for Sparse LLMs |
13 Oct 2023 |
zyxxmu/dsnot/lib/prune.py 3b99c66b488c6dc0 |
unverified |
no licence file found · pointer only |
| QLLM: Accurate and Efficient Low-Bitwidth Quantization for Large Language Models |
12 Oct 2023 |
modeltc/qllm/datautils.py 1b68bae7cd1dd862 |
unverified |
Apache-2.0 (permissive) |
| PB-LLM: Partially Binarized Large Language Models |
29 Sep 2023 |
hahnyuan/binaryllm/gptq_pb/datautils.py a7cbf4fc49c71e03 |
unverified |
MIT (permissive) |
| OmniQuant: Omnidirectionally Calibrated Quantization for Large Language Models |
25 Aug 2023 |
opengvlab/omniquant/datautils.py bd4f416e271c2fb5 |
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 c1c9acf2a2b2ad95 |
unverified |
Apache-2.0 (permissive) |
| Llama 2: Open Foundation and Fine-Tuned Chat Models |
18 Jul 2023 |
squeezeailab/squeezellm/squeezellm/datautils.py b1e98f962f5ae82d |
unverified |
MIT (permissive) |
| RPTQ: Reorder-based Post-training Quantization for Large Language Models |
3 Apr 2023 |
hahnyuan/rptq4llm/datautils.py 53cc9d33d473dc6b |
unverified |
MIT (permissive) |
| arXiv:openreview_Im05D8gFFn |
|
mazumder-lab/RobOP/RobOP-ALPS/datautils.py ecf5f166de1b29da |
unverified |
MIT (permissive) |
| arXiv:aaai_28960 |
|
CASIA-IVA-Lab/FLAP/lib/data.py 1d035152616b1d19 |
unverified |
Apache-2.0 (permissive) |
| arXiv:2025.naacl-long.237 |
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nbasyl/LLM-FP4/datautils.py a7a0ae47fad93751 |
unverified |
MIT (permissive) |
| arXiv:2025.findings-emnlp.1054 |
|
IST-DASLab/sparsegpt/datautils.py a7cbf4fc49c71e03 |
unverified |
Apache-2.0 (permissive) |
| arXiv:2024.findings-naacl.145 |
|
LianjiaTech/BELLE/models/gptq/datautils.py c1c9acf2a2b2ad95 |
unverified |
Apache-2.0 (permissive) |