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![Quantization Format For Llm [2306.00978] AWQ: Activation-aware Weight Quantization for LLM ...](https://ar5iv.labs.arxiv.org/html/2306.00978/assets/x1.png)
![Quantization Format For Llm [2402.15319] GPTVQ: The Blessing of Dimensionality for LLM Quantization](https://ar5iv.labs.arxiv.org/html/2402.15319/assets/fig/new_fig1a_blue.png)


































![Quantization Format For Llm [论文评述] BlockDialect: Block-wise Fine-grained Mixed Format Quantization ...](https://moonlight-paper-snapshot.s3.ap-northeast-2.amazonaws.com/arxiv/blockdialect-block-wise-fine-grained-mixed-format-quantization-for-energy-efficient-llm-inference-0.png)





![Quantization Format For Llm [2305.17888] LLM-QAT: Data-Free Quantization Aware Training for Large ...](https://ar5iv.labs.arxiv.org/html/2305.17888/assets/x2.png)
































![Quantization Format For Llm [LLM] SmoothQuant: Accurate and Efficient Post-Training Quantization ...](https://velog.velcdn.com/images/delee12/post/fd5d357c-258c-4d24-8e31-c91fc7f18fc8/image.png)








![Quantization Format For Llm [2409.16694] A Survey of Low-bit Large Language Models: Basics, Systems ...](https://ar5iv.labs.arxiv.org/html/2409.16694/assets/x1.png)






![Quantization Format For Llm [논문 리뷰] Through a Compressed Lens: Investigating the Impact of ...](https://moonlight-paper-snapshot.s3.ap-northeast-2.amazonaws.com/arxiv/through-a-compressed-lens-investigating-the-impact-of-quantization-on-llm-explainability-and-interpretability-0.png)










![Quantization Format For Llm [2406.12928] Evaluating the Generalization Ability of Quantized LLMs ...](https://ar5iv.labs.arxiv.org/html/2406.12928/assets/x1.png)