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Title: GitHub - ModelCloud/GPTQModel: LLM model quantization (compression) toolkit with HW acceleration support for Nvidia, AMD, Intel GPU and Intel/AMD/Apple CPU via HF, vLLM, and SGLang. · GitHub

Open Graph Title: GitHub - ModelCloud/GPTQModel: LLM model quantization (compression) toolkit with HW acceleration support for Nvidia, AMD, Intel GPU and Intel/AMD/Apple CPU via HF, vLLM, and SGLang.

X Title: GitHub - ModelCloud/GPTQModel: LLM model quantization (compression) toolkit with HW acceleration support for Nvidia, AMD, Intel GPU and Intel/AMD/Apple CPU via HF, vLLM, and SGLang.

Description: LLM model quantization (compression) toolkit with HW acceleration support for Nvidia, AMD, Intel GPU and Intel/AMD/Apple CPU via HF, vLLM, and SGLang. - ModelCloud/GPTQModel

Open Graph Description: LLM model quantization (compression) toolkit with HW acceleration support for Nvidia, AMD, Intel GPU and Intel/AMD/Apple CPU via HF, vLLM, and SGLang. - ModelCloud/GPTQModel

X Description: LLM model quantization (compression) toolkit with HW acceleration support for Nvidia, AMD, Intel GPU and Intel/AMD/Apple CPU via HF, vLLM, and SGLang. - ModelCloud/GPTQModel

Opengraph URL: https://github.com/ModelCloud/GPTQModel

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	https://huggingface.co/modelcloud/
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	https://github.com/ModelCloud/GPTQModel#quality-gptq-4bit-can-match-native-bf16
ModelCloud quantized Vortex models on HF	https://huggingface.co/collections/ModelCloud/vortex-673743382af0a52b2a8b9fe2
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	https://private-user-images.githubusercontent.com/417764/406712080-23901236-10c5-4435-ac2f-06cf2e097f1e.png?jwt=eyJ0eXAiOiJKV1QiLCJhbGciOiJIUzI1NiJ9.eyJpc3MiOiJnaXRodWIuY29tIiwiYXVkIjoicmF3LmdpdGh1YnVzZXJjb250ZW50LmNvbSIsImtleSI6ImtleTUiLCJleHAiOjE3ODMzNzQ0NzcsIm5iZiI6MTc4MzM3NDE3NywicGF0aCI6Ii80MTc3NjQvNDA2NzEyMDgwLTIzOTAxMjM2LTEwYzUtNDQzNS1hYzJmLTA2Y2YyZTA5N2YxZS5wbmc_WC1BbXotQWxnb3JpdGhtPUFXUzQtSE1BQy1TSEEyNTYmWC1BbXotQ3JlZGVudGlhbD1BS0lBVkNPRFlMU0E1M1BRSzRaQSUyRjIwMjYwNzA2JTJGdXMtZWFzdC0xJTJGczMlMkZhd3M0X3JlcXVlc3QmWC1BbXotRGF0ZT0yMDI2MDcwNlQyMTQyNTdaJlgtQW16LUV4cGlyZXM9MzAwJlgtQW16LVNpZ25hdHVyZT05Y2M1ZjBmZTM1ODkzMDU3OWNjYjg1MWZkMWExMmUxMjllY2Y5ZGYyYTUyYjdjMjAxNGYyZWY5MzM2OWY4MmRkJlgtQW16LVNpZ25lZEhlYWRlcnM9aG9zdCZyZXNwb25zZS1jb250ZW50LXR5cGU9aW1hZ2UlMkZwbmcifQ.dF45-lnFHFVqYI8COL7oXZscCuyFxnhDwxKjmC0FJmU
	https://github.com/ModelCloud/GPTQModel#model-support
	https://github.com/ModelCloud/GPTQModel#platform-and-hw-support
	https://github.com/ModelCloud/GPTQModel#install
	https://github.com/ModelCloud/GPTQModel#pipuv
	https://github.com/ModelCloud/GPTQModel#install-from-source
	https://github.com/ModelCloud/GPTQModel#inference
ModelScope	https://www.modelscope.cn/
	https://github.com/ModelCloud/GPTQModel#fp32-accumulation-toggle
	https://github.com/ModelCloud/GPTQModel#openai-api-compatible-endpoint
	https://github.com/ModelCloud/GPTQModel#quantization
	https://github.com/ModelCloud/GPTQModel#other-quantization-formats
	https://github.com/ModelCloud/GPTQModel#preprocessors
	https://github.com/ModelCloud/GPTQModel#gguf-example-llama-32-1b-instruct
	https://github.com/ModelCloud/GPTQModel#fp8-example-llama-32-1b-instruct
	https://github.com/ModelCloud/GPTQModel#exllama-v3--exl3-example-llama-32-1b-instruct
	https://github.com/ModelCloud/GPTQModel#moe-quantization
	https://github.com/ModelCloud/GPTQModel#quantized-inference
	https://github.com/ModelCloud/GPTQModel#eora-accuracy-recovery-enhanced-post-quant-error-recovery-via-lora
	https://github.com/ModelCloud/GPTQModel#how-to-add-support-for-a-new-model
gptqmodel/models/llama.py	https://github.com/ModelCloud/GPTQModel/blob/5627f5ffeb3f19b1a2a97e3b6de6fbe668b0dc42/gptqmodel/models/llama.py
	https://github.com/ModelCloud/GPTQModel#pair-with-evaluation-for-post-quantization-llm-benchmarks
Evalution	https://github.com/ModelCloud/Evalution
	https://github.com/ModelCloud/GPTQModel#dynamic-quantization-per-module-quantizeconfig-override
	https://github.com/ModelCloud/GPTQModel#group-aware-reordering-gar
	https://github.com/ModelCloud/GPTQModel#experimental-features
	https://github.com/ModelCloud/GPTQModel#using-gptaq-experimental-not-moe-compatible-and-results-may-not-be-better-than-original
	https://github.com/ModelCloud/GPTQModel#using-foem
	https://github.com/ModelCloud/GPTQModel#migrating-from-autogptq-and-autoawq
	https://github.com/ModelCloud/GPTQModel#attributions
Official implementation	https://github.com/z-lab/paroquant
Paper	https://openreview.net/forum?id=1USeVjsKau
Paper	https://openaccess.thecvf.com/content/CVPR2025W/eLVM/html/Gafni_Dual_Precision_Quantization_for_Efficient_and_Accurate_Deep_Neural_Networks_CVPRW_2025_paper.html
Paper	https://ojs.aaai.org/index.php/AAAI/article/view/40123
	https://github.com/ModelCloud/GPTQModel#citations
	https://github.com/ModelCloud/GPTQModel#quick-notes
	https://github.com/ModelCloud/GPTQModel#limit-log-level
	https://github.com/ModelCloud/GPTQModel#apply-triton-nogil-patch-early-in-multi-package-scripts
x.com/Qubitium	https://x.com/Qubitium
transformers	https://github.com/topics/transformers
quantization	https://github.com/topics/quantization
optimum	https://github.com/topics/optimum
peft	https://github.com/topics/peft
vllm	https://github.com/topics/vllm
gptq	https://github.com/topics/gptq
sglang	https://github.com/topics/sglang
Readme	https://github.com/ModelCloud/GPTQModel#readme-ov-file
View license	https://github.com/ModelCloud/GPTQModel#License-1-ov-file
Please reload this page	https://github.com/ModelCloud/GPTQModel
Activity	https://github.com/ModelCloud/GPTQModel/activity
Custom properties	https://github.com/ModelCloud/GPTQModel/custom-properties
191 forks	https://github.com/ModelCloud/GPTQModel/forks
Report repository	https://github.com/contact/report-content?content_url=https%3A%2F%2Fgithub.com%2FModelCloud%2FGPTQModel&report=ModelCloud+%28user%29
Releases 68	https://github.com/ModelCloud/GPTQModel/releases
GPT-QModel v7.2.0 Latest Jul 3, 2026	https://github.com/ModelCloud/GPTQModel/releases/tag/v7.2.0
+ 67 releases	https://github.com/ModelCloud/GPTQModel/releases
Packages 0	https://github.com/orgs/ModelCloud/packages?repo_name=GPTQModel
Please reload this page	https://github.com/ModelCloud/GPTQModel
Please reload this page	https://github.com/ModelCloud/GPTQModel
Contributors	https://github.com/ModelCloud/GPTQModel/graphs/contributors
Please reload this page	https://github.com/ModelCloud/GPTQModel
Python 85.0%	https://github.com/ModelCloud/GPTQModel/search?l=python
Cuda 10.2%	https://github.com/ModelCloud/GPTQModel/search?l=cuda
C++ 4.6%	https://github.com/ModelCloud/GPTQModel/search?l=c%2B%2B
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Community	https://github.community/
Docs	https://docs.github.com/
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