[R] Super simple KV Cache compression

[R] Super simple KV Cache compression : r/LocalLLaMA - Reddit

Hi, we just found a very simple way to make LLM inference more time and memory-efficient by compressing the KV cache.

... cache compression methods built on top of GPT-Fast, a simple, PyTorch-native generation codebase ... KV cache compression methods. Logo for Cold Compress built ...

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

We discuss extensive methods to reduce memory space: before inference, the model itself can be compressed, or the architecture can be changed, completely ...

Task-Aware Adaptive KV Cache Compression for Long Context LLMs

The method is not easy to use, it requires setting hyperparameters such as tw, ws, r-max per layer. ... You are very familiar with the related ...

Attention in Low-Rank Space for KV Cache Compression

Eigen Attention utilizes lower dimensional (r ≪ d) query, key, and value projection matrices than the standard attention operation, leading to ...

GitHub - sail-sg/SimLayerKV: The official implementation of paper

We present SimLayerKV, a simple yet effective method that reduces inter-layer KV cache redundancies by selectively dropping cache in identified lazy layers.

PyramidKV: Dynamic KV Cache Compression based on Pyramidal ...

The goal of KV cache compression is to seek two sub-matrices K s l , V s l ∈ ℝ ... Lm-infinite: Simple on-the-fly length generalization for large language models.

CacheGen: KV Cache Compression and Streaming for Fast Large ...

The amount of computation in processing a long context grows super-linearly with the context length [31, 47, 116, 131, 150]. While some recent ...

KV Cache Compression and Streaming for Fast Language Model ...

CacheGen: KV Cache Compression and Streaming for Fast Language Model Serving (SIGCOMM'24, Paper1571). 847 views · 2 months ago ...more ...

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

... KV cache compression methods in memory and quality with simple additions to existing methods. Introduces an adaptive KV caching scheme.

pminervini_ (u/pminervini_) - Reddit

[R] Super simple KV Cache compression ... to make LLM inference more time and memory-efficient by compressing the KV cache. TLDR, we noticed a strong correlation ...

CacheBlend: Fast Large Language Model Serving for RAG with ...

Full KV reuse is proposed to address this very problem. This approach ... kv cache compression at test time. Advances in Neural Information. Processing ...

Synthesizing Recurrence with KV Cache Compression for Efficient ...

Even a very low-rank approximation can nearly negate the performance degradation from sparse caching. ... , W·,2 ∈ RR′×R, and Wψ,3 ∈ RR×R.

LLM inference optimization: Architecture, KV cache and Flash attention

This content isn't available. LLM inference optimization: Architecture, KV cache and ...

MiniCache: KV Cache Compression in Depth Dimension for Large ...

In this paper, we present a simple yet effective approach, called MiniCache, to compress the KV cache across layers from a novel depth ...

Generate: using k-v cache is faster but no difference to memory usage

Hello! :wave: I'm benchmarking inference performance using Whisper and the .generate() method, switching between using/not using the k-v ...

H2O: Heavy-Hitter Oracle for Efficient Generative Inference of Large ...

1Belady's Algorithm is optimal for standard cache, but not necessarily for KV cache. 2. Page 3. that exploits the properties of LLMs and uses simple, low- ...

Q-Hitter: A Better Token Oracle for Efficient LLM Inference via ...

We first investigate into the naive combination of spar- sification and quantization for KV cache compression. ... -R. Do emergent abilities exist in.

Adaptive KV Cache Compression for LLMs - enlsp 2023

Saurabh Goyal, Anamitra R. Choudhury, Saurabh Raje, Venkatesan T ... A simple hash-based early exiting approach for language understanding and generation.

Compression feature in java for cache system - Stack Overflow

Could you write a small bit of code to describe your data structures? The description is not very easy to imagine in my head. – kan. Commented ...