Optimizing KV Cache Eviction in LLMs

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

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

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

We propose a simple yet effective adaptive allocation algorithm that not only theoretically ensures its loss upper bound does not exceed that of previous ...

Optimizing Time to First Token with Fine-Grained KV Cache Blocks ...

Partitioning the KV cache into smaller blocks and evicting unused ones can be effective for memory optimization, but it introduces dependency ...

(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 ...

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 ...

LLM Inference Optimization: Accelerating Long Context Generation ...

Challenges in KV Cache Management ... Efforts to reduce KV cache size through token eviction face inherent challenges. Given the dynamic nature of ...

A Review on Methods to Optimize LLM's KV-Cache Consumption

In this review, we dissect the various properties of KV-Cache and elaborate on various methods currently used to optimize the KV-Cache space usage of LLMs.

[R][P] KV Cache is huge and bottlenecks LLM inference. We ... - Reddit

Some do so by using eviction policy to throw out unimportant tokens (e.g., StremingLLM and H2O); some apply system-level optimizations such as ...

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

The paper introduces an Adaptive Cache Allocation (ACA) strategy for managing the key-value (KV) cache in large language models (LLMs).

Making Workers AI faster and more efficient - The Cloudflare Blog

With a new generation of data center accelerator hardware and using optimization techniques such as KV cache compression and speculative ...

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

... KV Cache Compression for LLMs, [pdf], ... [Ada-KV] Ada-KV: Optimizing KV Cache Eviction by Adaptive Budget Allocation for Efficient LLM Inference ...

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

In the previous post, we introduced KV caching, a common optimization of the inference process of LLMs that make compute requirements of the ...

Techniques for KV Cache Optimization in Large Language Models

The KV cache is a crucial optimization technique employed in LLMs to maintain a consistent and efficient per-token generation time. · However, it ...

Kv Cache Explained For Large Language Models - Restack

The KV cache plays a crucial role in optimizing the performance of large language models (LLMs) by managing the storage and retrieval of key-value pairs ...

Cascading and Adaptive KV Cache Eviction with Layer Preferences

Summary: This paper introduces a method for optimizing KV cache eviction through a cache allocation strategy to enhance LLM inference efficiency ...

October2001/Awesome-KV-Cache-Compression - 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 ...

Implement LLM Kv Cache In Python - Restack

Caching is a critical component in optimizing the performance and cost-effectiveness of applications utilizing Large Language Models (LLMs).

Caching and Reuse Optimizations - Aussie AI

MartinLwx, Oct 2023 LLM inference optimization - KV Cache, https://martinlwx ... KV cache eviction strategies with token merging applied to the KV cache.) ...

NACL: A General and Effective KV Cache Eviction Framework for ...

The paper introduces a new cache eviction framework called NaCl that helps improve the efficiency and performance of large language models (LLMs) during ...

In-context KV-Cache Eviction for LLMs via Attention-Gate - Linnk AI

In-Context KV-Cache Eviction for LLMs via Attention-Gate: A Method for Improving Efficiency and Performance in Large Language Models by ...