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Title: GitHub - ModelTC/LightCompress: [EMNLP 2024 & AAAI 2026] A powerful toolkit for compressing large models including LLMs, VLMs, and video generative models.

Open Graph Title: GitHub - ModelTC/LightCompress: [EMNLP 2024 & AAAI 2026] A powerful toolkit for compressing large models including LLMs, VLMs, and video generative models.

X Title: GitHub - ModelTC/LightCompress: [EMNLP 2024 & AAAI 2026] A powerful toolkit for compressing large models including LLMs, VLMs, and video generative models.

Description: [EMNLP 2024 & AAAI 2026] A powerful toolkit for compressing large models including LLMs, VLMs, and video generative models. - ModelTC/LightCompress

Open Graph Description: [EMNLP 2024 & AAAI 2026] A powerful toolkit for compressing large models including LLMs, VLMs, and video generative models. - ModelTC/LightCompress

X Description: [EMNLP 2024 & AAAI 2026] A powerful toolkit for compressing large models including LLMs, VLMs, and video generative models. - ModelTC/LightCompress

Opengraph URL: https://github.com/ModelTC/LightCompress

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https://arxiv.org/abs/2405.06001
https://arxiv.org/abs/2508.09981
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https://llmc-en.readthedocs.io/en/latest/
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LLMC+: Benchmarking Vision-Language Model Compression with a Plug-and-play Toolkithttps://arxiv.org/abs/2508.09981
documentationhttps://llmc-en.readthedocs.io/en/latest/advanced/token_reduction.html
lightx2vhttps://github.com/ModelTC/lightx2v
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SGLanghttps://github.com/sgl-project/sglang
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SGLanghttps://github.com/sgl-project/sglang
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SGLang documentationhttps://llmc-en.readthedocs.io/en/latest/backend/sglang.html
herehttps://huggingface.co/Dongz/llama31-405b-quant
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AutoAWQhttps://github.com/casper-hansen/AutoAWQ
MLC-LLMhttps://github.com/mlc-ai/mlc-llm
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herehttps://llmc-en.readthedocs.io/en/latest/
opencompasshttps://github.com/open-compass/opencompass
dochttps://llmc-en.readthedocs.io/en/latest/advanced/model_test_v2.html
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lm-evaluation-harnesshttps://github.com/EleutherAI/lm-evaluation-harness
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LLMC: Benchmarking Large Language Model Quantization with a Versatile Compression Toolkithttps://arxiv.org/abs/2405.06001v2
Ruihao Gong*https://xhplus.github.io/
Yang Yong*https://github.com/helloyongyang
Shiqiao Gu*https://github.com/gushiqiao
Yushi Huang*https://github.com/Harahan
Chengtao Lvhttps://scholar.google.com/citations?user=r8vseSUAAAAJ&hl=en
Yunchen Zhanghttps://scholar.google.com/citations?user=glkWFyUAAAAJ&hl=en
Xianglong Liu📧https://xlliu-beihang.github.io/
Dacheng Taohttps://scholar.google.com/citations?user=RwlJNLcAAAAJ&hl=en
LLM-QBench: A Benchmark Towards the Best Practice for Post-training Quantization of Large Language Modelshttps://arxiv.org/abs/2405.06001
Ruihao Gong*https://xhplus.github.io/
Yang Yong*https://github.com/helloyongyang
Shiqiao Gu*https://github.com/gushiqiao
Yushi Huang*https://github.com/Harahan
Yunchen Zhanghttps://scholar.google.com/citations?user=glkWFyUAAAAJ&hl=en
Xianglong Liu📧https://xlliu-beihang.github.io/
Dacheng Taohttps://scholar.google.com/citations?user=RwlJNLcAAAAJ&hl=en
https://patch-diff.githubusercontent.com/ModelTC/LightCompress/blob/main/imgs/best_practice.png
https://patch-diff.githubusercontent.com/ModelTC/LightCompress#-highlight-feature
herehttps://llmc-en.readthedocs.io/en/latest/
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herehttps://llmc-en.readthedocs.io/en/latest/
https://patch-diff.githubusercontent.com/ModelTC/LightCompress#️-usage
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https://patch-diff.githubusercontent.com/ModelTC/LightCompress#robot-supported-model-list
BLOOMhttps://huggingface.co/bigscience/bloom
LLaMAhttps://github.com/facebookresearch/llama
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StarCoderhttps://github.com/bigcode-project/starcoder
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Qwen2-VLhttps://huggingface.co/Qwen/Qwen2-VL-7B-Instruct
InternVL2https://huggingface.co/OpenGVLab/InternVL2-2B
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MLC-LLMhttps://github.com/mlc-ai/mlc-llm
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https://patch-diff.githubusercontent.com/ModelTC/LightCompress#-supported-algorithm-list
https://patch-diff.githubusercontent.com/ModelTC/LightCompress#token-reduction
ToMehttps://arxiv.org/abs/2210.09461
FastVhttps://arxiv.org/abs/2403.06764
SparseVLMhttps://arxiv.org/abs/2410.04417
VisionZiphttps://arxiv.org/abs/2412.04467
PyramidDrophttps://arxiv.org/abs/2410.17247
VisPrunerhttps://arxiv.org/abs/2412.01818
MustDrophttps://arxiv.org/abs/2411.10803
DARThttps://arxiv.org/abs/2502.11494
DyCokehttps://arxiv.org/abs/2411.15024
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HoliTomhttps://arxiv.org/abs/2505.21334
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AWQhttps://arxiv.org/abs/2306.00978
GPTQhttps://arxiv.org/abs/2210.17323
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OS+https://arxiv.org/abs/2304.09145
OmniQuanthttps://arxiv.org/abs/2308.13137
NormTweakinghttps://arxiv.org/abs/2309.02784
AdaDimhttps://arxiv.org/pdf/2309.15531.pdf
QUIKhttps://arxiv.org/abs/2310.09259
SpQRhttps://arxiv.org/abs/2306.03078
DGQhttps://arxiv.org/abs/2310.04836
OWQhttps://arxiv.org/abs/2306.02272
LLM.int8()https://arxiv.org/abs/2208.07339
HQQhttps://mobiusml.github.io/hqq_blog/
QuaRothttps://arxiv.org/abs/2404.00456
SpinQuanthttps://arxiv.org/abs/2405.16406
See this branchhttps://github.com/ModelTC/llmc/tree/dev_spinquant
TesseraQhttps://arxiv.org/abs/2410.19103
https://patch-diff.githubusercontent.com/ModelTC/LightCompress#pruning
Wandahttps://arxiv.org/abs/2306.11695
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https://patch-diff.githubusercontent.com/ModelTC/LightCompress#-acknowledgments
mit-han-lab/llm-awqhttps://github.com/mit-han-lab/llm-awq
mit-han-lab/smoothquanthttps://github.com/mit-han-lab/smoothquant
OpenGVLab/OmniQuanthttps://github.com/OpenGVLab/OmniQuant
IST-DASLab/gptqhttps://github.com/IST-DASLab/gptq
ModelTC/Outlier_Suppression_Plushttps://github.com/ModelTC/Outlier_Suppression_Plus
IST-DASLab/QUIKhttps://github.com/IST-DASLab/QUIK
Vahe1994/SpQRhttps://github.com/Vahe1994/SpQR
ilur98/DGQhttps://github.com/ilur98/DGQ
xvyaward/owqhttps://github.com/xvyaward/owq
TimDettmers/bitsandbyteshttps://github.com/TimDettmers/bitsandbytes
mobiusml/hqqhttps://github.com/mobiusml/hqq
spcl/QuaRothttps://github.com/spcl/QuaRot
locuslab/wandahttps://github.com/locuslab/wanda
EleutherAI/lm-evaluation-harnesshttps://github.com/EleutherAI/lm-evaluation-harness
facebookresearch/SpinQuanthttps://github.com/facebookresearch/SpinQuant
Intelligent-Computing-Lab-Yale/TesseraQhttps://github.com/Intelligent-Computing-Lab-Yale/TesseraQ
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