Language Model Weight Quantization
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![Language Model Weight Quantization [논문 리뷰] GWQ: Gradient-Aware Weight Quantization for Large Language Models](https://moonlight-paper-snapshot.s3.ap-northeast-2.amazonaws.com/arxiv/gwq-gradient-aware-weight-quantization-for-large-language-models-2.png)




![Language Model Weight Quantization [논문 리뷰] GuidedQuant: Large Language Model Quantization via Exploiting ...](https://moonlight-paper-snapshot.s3.ap-northeast-2.amazonaws.com/arxiv/guidedquant-large-language-model-quantization-via-exploiting-end-loss-guidance-1.png)







![Language Model Weight Quantization [论文评述] ROSAQ: Rotation-based Saliency-Aware Weight Quantization for ...](https://moonlight-paper-snapshot.s3.ap-northeast-2.amazonaws.com/arxiv/rosaq-rotation-based-saliency-aware-weight-quantization-for-efficiently-compressing-large-language-models-1.png)

![Language Model Weight Quantization [2306.02272] OWQ: Outlier-Aware Weight Quantization for Efficient Fine ...](https://ar5iv.labs.arxiv.org/html/2306.02272/assets/figures/figure3.png)













![Language Model Weight Quantization [23.08]A Survey on Model Compression for Large Language Models](https://velog.velcdn.com/images/yeomjinseop/post/9f6a1665-433b-4371-b436-37d242a49290/image.png)




![Language Model Weight Quantization [R] QuIP: 2-Bit Quantization of Large Language Models With Guarantees ...](https://preview.redd.it/r-quip-2-bit-quantization-of-large-language-models-with-v0-uu034fa6apjb1.jpg?width=927&format=pjpg&auto=webp&s=19bf5eb01d75da6644bb5f0dbaacd00cee2b66e9)
![Language Model Weight Quantization [論文レビュー] How Quantization Shapes Bias in Large Language Models](https://moonlight-paper-snapshot.s3.ap-northeast-2.amazonaws.com/arxiv/how-quantization-shapes-bias-in-large-language-models-4.png)
![Language Model Weight Quantization [2409.16694] A Survey of Low-bit Large Language Models: Basics, Systems ...](https://ar5iv.labs.arxiv.org/html/2409.16694/assets/x5.png)

![Language Model Weight Quantization [논문 리뷰] ADMM-Q: An Improved Hessian-based Weight Quantizer for Post ...](https://moonlight-paper-snapshot.s3.ap-northeast-2.amazonaws.com/arxiv/admm-q-an-improved-hessian-based-weight-quantizer-for-post-training-quantization-of-large-language-models-1.png)

![Language Model Weight Quantization [2404.14294] A Survey on Efficient Inference for Large Language Models](https://ar5iv.labs.arxiv.org/html/2404.14294/assets/x5.png)
![Language Model Weight Quantization [2311.01305] AWEQ: Post-Training Quantization with Activation-Weight ...](https://ar5iv.labs.arxiv.org/html/2311.01305/assets/Figures/overview.png)

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

![Language Model Weight Quantization [2306.00014] PreQuant: A Task-agnostic Quantization Approach for Pre ...](https://ar5iv.labs.arxiv.org/html/2306.00014/assets/figures/mechanism.png)







![Language Model Weight Quantization [2312.03863] Efficient Large Language Models: A Survey](https://ar5iv.labs.arxiv.org/html/2312.03863/assets/x3.png)







![Language Model Weight Quantization [Revisión de artículo] LRQ: Optimizing Post-Training Quantization for ...](https://moonlight-paper-snapshot.s3.ap-northeast-2.amazonaws.com/arxiv/lrq-optimizing-post-training-quantization-for-large-language-models-by-learning-low-rank-weight-scaling-matrices-1.png)









![Language Model Weight Quantization [2311.01305] AWEQ: Post-Training Quantization with Activation-Weight ...](https://ar5iv.labs.arxiv.org/html/2311.01305/assets/w.png)












![Language Model Weight Quantization [論文レビュー] AMQ: Enabling AutoML for Mixed-precision Weight-Only ...](https://moonlight-paper-snapshot.s3.ap-northeast-2.amazonaws.com/arxiv/amq-enabling-automl-for-mixed-precision-weight-only-quantization-of-large-language-models-0.png)




![Language Model Weight Quantization [2211.10438] SmoothQuant: Accurate and Efficient Post-Training ...](https://ar5iv.labs.arxiv.org/html/2211.10438/assets/x1.png)
![Language Model Weight Quantization [2402.04902] L4Q: Parameter Efficient Quantization-Aware Training on ...](https://ar5iv.labs.arxiv.org/html/2402.04902/assets/images/fig1.png)


![Language Model Weight Quantization [핵심][24.ICLR] RETHINKING CHANNEL DIMENSIONS TO ISOLATE OUTLIERS FOR LOW ...](https://velog.velcdn.com/images/yeomjinseop/post/5caf079c-8943-43e4-8805-24a4581b9918/image.png)