Optimizing KV Cache Eviction by Adaptive Budget ...

Optimizing KV Cache Eviction by Adaptive Budget Allocation ... - arXiv

We propose a simple yet effective adaptive budget allocation algorithm. This algorithm not only optimizes the theoretical loss upper bound but also reduces the ...

Optimizing KV Cache Eviction by Adaptive Budget Allocation ... - arXiv

Some works, called KV cache quantization, reduce the size of cache pairs by lowering the precision of individual entries. However, its ...

Optimizing KV Cache Eviction by Adaptive Budget ... - Scholar-Chat

Our reexamination of foundational principles reveals that prevailing methods aim to minimize an upper bound of eviction loss, quantified as the L1 distance ...

(PDF) Optimizing KV Cache Eviction in LLMs: Adaptive Allocation for ...

Many efforts try to evict non-critical cache elements during runtime, thereby reducing cache size within a given memory budget while preserving ...

Optimizing KV Cache Eviction in LLMs: Adaptive Allocation for ...

The strategy dynamically adjusts the cache space allocated to different types of KV pairs based on their usage patterns, aiming to maximize the ...

Zefan-Cai/Awesome-LLM-KV-Cache - GitHub

2024.07, [Ada-KV] Ada-KV: Optimizing KV Cache Eviction by Adaptive Budget Allocation for Efficient LLM Inference, [pdf],, Head-wise budget allocation.

Ada-KV: Optimizing KV Cache Eviction by Adaptive Budget ... - Bytez

Ada-KV: Optimizing KV Cache Eviction by Adaptive Budget Allocation for Efficient LLM Inference. 1 month ago·arXiv.

Cascading and Adaptive KV Cache Eviction with Layer Preferences

TL;DR: We introduce a dynamic KV cache eviction method that adapts to layer-specific attention patterns, significantly improving LLM inference ...

Awesome-Efficient-LLM/kv_cache_compression.md at main - GitHub

Ada-KV: Optimizing KV Cache Eviction by Adaptive Budget Allocation for Efficient LLM Inference Yuan Feng, Junlin Lv, Yukun Cao, Xike Xie, S. Kevin Zhou ...

Model Tells You What to Discard: Adaptive KV Cache Compression ...

Although there is no clear experimental evidence on the optimal eviction ratio and corresponding win rates, their findings indicate that KV cache pruning could ...

A General and Effective KV Cache Eviction Framework for LLMs at ...

In this paper, we propose NACL, a general framework for long-context KV cache eviction that achieves more optimal and efficient eviction in a ...

Junlin Lv - Papers With Code

By integrating this algorithm into two state-of-the-art methods, we demonstrate the effectiveness of using adaptive budget allocation to optimize KV cache ...

Kv Cache Explained For Large Language Models - Restack

Cache Eviction Techniques · Quantization: Reducing the precision of individual cache elements can lower memory usage. · Dynamic Recall: Recent approaches focus on ...

Adaptive KV Cache Compression for LLMs - enlsp 2023

Based on the recognized structure, we then construct the KV cache in an adaptive manner: evicting long-range con-.

LLM Inference Series: 4. KV caching, a deeper look - Medium

Since GPU memory is limited, cached KV tensors cannot be retained forever. The RadixAttention algorithm therefore includes an eviction policy ( ...

Efficient Inference via Layer-Wise Dissimilar KV Cache Sharing

By integrating this algorithm into two state-of-the-art methods, we demonstrate the effectiveness of using adaptive budget allocation to optimize KV cache ...

[PDF] Catalyst: Optimizing Cache Management for Large In-memory ...

Ada-KV: Optimizing KV Cache Eviction by Adaptive Budget Allocation for Efficient LLM Inference ... This work proposes a simple yet effective adaptive budget ...

Adaptive KV Cache Compression for LLMs - arxiv-sanity

Recent efforts try to reduce KV cache size to a given memory budget by evicting vast non-critical cache elements during runtime, while preserving generation ...

Caching and Reuse Optimizations - Aussie AI

KV cache quantization; KV cache compression — e.g. sparsity/pruning of the KV cache, KV cache layer fusion, and other variants. KV cache eviction; KV data ...

Model Tells You What to Discard: Adaptive KV Cache Compression ...

... KV cache in an adaptive manner: evicting long-range contexts on attention heads emphasizing local contexts, discarding non-special tokens on attention heads ...