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[KVcache] add "Gear" paper and code of "Keyformer" #13

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Apr 26, 2024
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[KVcache] add "Gear" paper and code of "Keyformer" #13

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add gear and keyformer's code
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@HarryWu99
HarryWu99 authored Apr 26, 2024
commit 52576d9090f2c6033e5a72d8e149c66e7a880dec
3 changes: 2 additions & 1 deletion README.md
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Expand Up @@ -175,9 +175,10 @@ Awesome-LLM-Inference: A curated list of [📙Awesome LLM Inference Papers with
|2024.02|🔥🔥[Shared Prefixes] Hydragen: High-Throughput LLM Inference with Shared Prefixes | [[pdf]](https://arxiv.org/pdf/2402.05099.pdf)|⚠️|⭐️⭐️ |
|2024.03|🔥[QAQ] QAQ: Quality Adaptive Quantization for LLM KV Cache(@@smail.nju.edu.cn)|[[pdf]](https://arxiv.org/pdf/2403.04643.pdf)|[[QAQ-KVCacheQuantization]](https://github.com/ClubieDong/QAQ-KVCacheQuantization) ![](https://img.shields.io/github/stars/ClubieDong/QAQ-KVCacheQuantization.svg?style=social) |⭐️⭐️ |
|2024.03|🔥🔥[DMC] Dynamic Memory Compression: Retrofitting LLMs for Accelerated Inference(@NVIDIA etc)|[[pdf]](https://arxiv.org/pdf/2403.09636.pdf)|⚠️|⭐️⭐️ |
|2024.03|🔥🔥[Keyformer] Keyformer: KV Cache reduction through key tokens selection for Efficient Generative Inference(@ece.ubc.ca etc)|[[pdf]](https://arxiv.org/pdf/2403.09054.pdf)|⚠️|⭐️⭐️ |
|2024.03|🔥🔥[Keyformer] Keyformer: KV Cache reduction through key tokens selection for Efficient Generative Inference(@ece.ubc.ca etc)|[[pdf]](https://arxiv.org/pdf/2403.09054.pdf)|[[Keyformer]](https://github.com/d-matrix-ai/keyformer-llm) ![](https://img.shields.io/github/stars/d-matrix-ai/keyformer-llm.svg?style=social)|⭐️⭐️ |
|2024.03|[FASTDECODE] FASTDECODE: High-Throughput GPU-Efficient LLM Serving using Heterogeneous(@Tsinghua University)|[[pdf]](https://arxiv.org/pdf/2403.11421.pdf)|⚠️|⭐️⭐️ |
|2024.03|[Sparsity-Aware KV Caching] ALISA: Accelerating Large Language Model Inference via Sparsity-Aware KV Caching(@ucf.edu)|[[pdf]](https://arxiv.org/pdf/2403.17312.pdf)|⚠️|⭐️⭐️ |
|2024.03|🔥[GEAR] GEAR: An Efficient KV Cache Compression Recipe for Near-Lossless Generative Inference of LLM(@gatech.edu)|[[pdf]](https://arxiv.org/pdf/2403.05527)|[[GEAR]](https://github.com/opengear-project/GEAR) ![](https://img.shields.io/github/stars/opengear-project/GEAR.svg?style=social)|⭐️ |
|2024.04|[SqueezeAttention] SQUEEZEATTENTION: 2D Management of KV-Cache in LLM Inference via Layer-wise Optimal Budget(@lzu.edu.cn etc)|[[pdf]](https://arxiv.org/pdf/2404.04793.pdf)|[[SqueezeAttention]](https://github.com/hetailang/SqueezeAttention) ![](https://img.shields.io/github/stars/hetailang/SqueezeAttention.svg?style=social) |⭐️⭐️ |
|2024.04|[SnapKV] SnapKV: LLM Knows What You are Looking for Before Generation(@UIUC)|[[pdf]](https://arxiv.org/pdf/2404.14469)|[[SnapKV]](https://github.com/FasterDecoding/SnapKV) ![](https://img.shields.io/github/stars/FasterDecoding/SnapKV.svg?style=social)|⭐️ |

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