Token Quantization
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![Token Quantization [Paper review] KIVI: A Tuning-Free Asymmetric 2bit Quantization for KV ...](https://velog.velcdn.com/images/s091506/post/2e1b52f8-d2b4-470f-baf4-2c5c02445adc/image.png)




![Token Quantization [2505.10938] Accurate KV Cache Quantization with Outlier Tokens Tracing](https://ar5iv.labs.arxiv.org/html/2505.10938/assets/x17.png)

![Token Quantization [2505.10938] Accurate KV Cache Quantization with Outlier Tokens Tracing](https://ar5iv.labs.arxiv.org/html/2505.10938/assets/x18.png)




![Token Quantization [Paper review] KIVI: A Tuning-Free Asymmetric 2bit Quantization for KV ...](https://velog.velcdn.com/images/s091506/post/76d110db-e66c-4342-b837-85a8ffd1deee/image.png)
![Token Quantization [2505.10938] Accurate KV Cache Quantization with Outlier Tokens Tracing](https://ar5iv.labs.arxiv.org/html/2505.10938/assets/x13.png)
![Token Quantization [논문 리뷰] Efficient Generative Modeling with Residual Vector Quantization ...](https://moonlight-paper-snapshot.s3.ap-northeast-2.amazonaws.com/arxiv/efficient-generative-modeling-with-residual-vector-quantization-based-tokens-2.png)


![Token Quantization [2303.06424] Regularized Vector Quantization for Tokenized Image Synthesis](https://ar5iv.labs.arxiv.org/html/2303.06424/assets/x2.png)
![Token Quantization [2305.17888] LLM-QAT: Data-Free Quantization Aware Training for Large ...](https://ar5iv.labs.arxiv.org/html/2305.17888/assets/x3.png)
















![Token Quantization [论文评述] CoST: Contrastive Quantization based Semantic Tokenization for ...](https://moonlight-paper-snapshot.s3.ap-northeast-2.amazonaws.com/arxiv/cost-contrastive-quantization-based-semantic-tokenization-for-generative-recommendation-1.png)








![Token Quantization [2303.06424] Regularized Vector Quantization for Tokenized Image Synthesis](https://ar5iv.labs.arxiv.org/html/2303.06424/assets/x5.png)

![Token Quantization [2505.10938] Accurate KV Cache Quantization with Outlier Tokens Tracing](https://ar5iv.labs.arxiv.org/html/2505.10938/assets/x4.png)








![Token Quantization [LLM] SmoothQuant: Accurate and Efficient Post-Training Quantization ...](https://velog.velcdn.com/images/delee12/post/140f6f10-b7ac-42dd-ac06-25aaa0876db3/image.png)
![Token Quantization [2505.10938] Accurate KV Cache Quantization with Outlier Tokens Tracing](https://ar5iv.labs.arxiv.org/html/2505.10938/assets/x22.png)


![Token Quantization [2505.10938] Accurate KV Cache Quantization with Outlier Tokens Tracing](https://ar5iv.labs.arxiv.org/html/2505.10938/assets/x5.png)












![Token Quantization [论文评述] Learning Graph Quantized Tokenizers for Transformers](https://moonlight-paper-snapshot.s3.ap-northeast-2.amazonaws.com/arxiv/learning-graph-quantized-tokenizers-for-transformers-4.png)




![Token Quantization [24.arXiv]KVQuant: Towards 10M Context Length LLM Inference with KV ...](https://velog.velcdn.com/images/yeomjinseop/post/426d1731-2f3a-437c-8e59-473fee45b88e/image.png)


![Token Quantization [22.11]SmoothQuant](https://velog.velcdn.com/images/yeomjinseop/post/20edc004-10a1-4a33-b831-4456f6a030f8/image.png)




![Token Quantization [源码] [万字] SmoothQuant量化深入探究 - 知乎](https://pic3.zhimg.com/v2-2343d543f4a000e9be88920dbd118a2e_r.jpg)

![Token Quantization [论文评述] From Tokens to Energy Flexibility: Quantization-Enabled Demand ...](https://moonlight-paper-snapshot.s3.ap-northeast-2.amazonaws.com/arxiv/from-tokens-to-energy-flexibility-quantization-enabled-demand-response-for-data-centers-with-llm-inference-workloads-1.png)







![Token Quantization [2410.02155] From Pixels to Tokens: Byte-Pair Encoding on Quantized ...](https://ar5iv.labs.arxiv.org/html/2410.02155/assets/x5.png)
![Token Quantization [AI ML| Learning Notes Day 48 |Tokenization Deep Dive]](https://substackcdn.com/image/fetch/$s_!qSDZ!,f_auto,q_auto:good,fl_progressive:steep/https://substack-post-media.s3.amazonaws.com/public/images/5ecd5c47-c6d4-4e9c-bd94-b06c4429e59a_1536x1024.png)



![Token Quantization [논문 리뷰] MergeVQ: A Unified Framework for Visual Generation and ...](https://moonlight-paper-snapshot.s3.ap-northeast-2.amazonaws.com/arxiv/mergevq-a-unified-framework-for-visual-generation-and-representation-with-disentangled-token-merging-and-quantization-0.png)




