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VPTQ: Extreme Low-bit Vector Post-Training Quantization for Large Language Models

Research article (Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024) · cited 10× · AI/ML
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VPTQ: Extreme Low-bit Vector Post-Training Quantization for Large Language Models

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VPTQ: Extreme Low-bit Vector Post-Training Quantization for Large Language Models is a scholarly article[1].

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  • VPTQ: Extreme Low-bit Vector Post-Training Quantization for Large Language Models's instance of is recorded as scholarly article[2].

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APA 4ort.xyz Knowledge Graph. (2026). VPTQ: Extreme Low-bit Vector Post-Training Quantization for Large Language Models. Retrieved May 24, 2026, from https://4ort.xyz/entity/vptq-extreme-low-bit-vector-post-training-quantization-for-large-language-models
MLA “VPTQ: Extreme Low-bit Vector Post-Training Quantization for Large Language Models.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/vptq-extreme-low-bit-vector-post-training-quantization-for-large-language-models.
BibTeX @misc{4ortxyz_vptq-extreme-low-bit-vector-post-training-quantization-for-large-language-models_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{VPTQ: Extreme Low-bit Vector Post-Training Quantization for Large Language Models}}, year = {2026}, url = {https://4ort.xyz/entity/vptq-extreme-low-bit-vector-post-training-quantization-for-large-language-models}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): VPTQ: Extreme Low-bit Vector Post-Training Quantization for Large Language Models — https://4ort.xyz/entity/vptq-extreme-low-bit-vector-post-training-quantization-for-large-language-models (retrieved 2026-05-24)

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