Large Language Model — LLM Model Efficient Inference

A Survey on Efficient Inference for Large Language Models - arXiv

This paper presents a comprehensive survey of the existing literature on efficient LLM inference. We start by analyzing the primary causes of ...

Large Language Model — LLM Model Efficient Inference - Medium

Large Language Models (LLMs) have attracted extensive attention due to their remarkable performance across various… · 1 Model Quantization.

A Survey on Efficient Inference for Large Language Models - arXiv

[21] center on efficiency research considering both data and model architecture perspectives. Miao et al. [22] approach efficient. LLM inference from a machine ...

LLM in a Flash: Efficient Large Language Model Inference with ...

LLM in a Flash: Efficient Large Language Model Inference with Limited Memory ... Large language models (LLMs) are central to modern natural language processing, ...

LLM inference optimization - Hugging Face

Large language models (LLMs) have pushed text generation applications, such as chat and code completion models, to the next level by producing text that ...

Efficient Inference for Large Language Model-based Generative...

Large Language Model (LLM)-based generative recommendation has achieved notable success, yet its practical deployment is costly particularly ...

LLM in a flash: Efficient Large Language Model Inference with ...

Our method involves constructing an inference cost model that takes into account the characteristics of flash memory, guiding us to optimize in two critical ...

Optimizing Inference in Large Language Models: Strategies and ...

Effective model serving strategies are crucial for optimizing LLM inference in production environments: In-Flight Batching: This technique ...

[TMLR 2024] Efficient Large Language Models: A Survey - GitHub

I-LLM: Efficient Integer-Only Inference for Fully-Quantized Low-Bit Large Language Models, arXiv, 2024 [Paper] · IntactKV: Improving Large Language Model ...

LLM Inference: From Input Prompts to Human-Like Responses

Large language models are highly capable but computationally intensive, making efficient inference a key challenge. Various techniques can optimize the ...

Techniques for Efficient Inference of LLMs (I/IV) | by Andrei Apostol

In LLM.int8() [6] ... model = AutoModelForCausalLM.from_pretrained ... The demand for efficient inference grows as large language models ...

[PDF] A Survey on Efficient Inference for Large Language Models

A comprehensive survey of the existing literature on efficient LLM inference is presented, analyzing the primary causes of the inefficient ...

Mastering LLM Techniques: Inference Optimization

... Efficient Memory Management for Large Language Model Serving with PagedAttention. Inspired by paging in operating systems, the PagedAttention ...

horseee/Awesome-Efficient-LLM - GitHub

A curated list for Efficient Large Language Models - horseee/Awesome-Efficient-LLM.

Efficient Large Language Models: A Survey | OpenReview

... model size, training/inference time/memory, and many others. ... Of course, it is difficult to say how large a language model should be to be called an LLM.

LLM in a flash: Efficient Large Language Model Inference ... - YouTube

In this video we review a recent important paper from Apple, titled: "LLM in a flash: Efficient Large Language Model Inference with Limited ...

LLM in a flash: Efficient Large Language Model Inference with ...

Our method involves constructing an inference cost model that harmonizes with the flash memory behavior, guiding us to optimize in two critical ...

Efficient Large Language Model Inference with Limited Memory

This article explores the novel strategies introduced in "LLM in a Flash" by Apple researchers, which enable efficient LLM inference on devices ...

An Efficient Multi-Level Inference System for Large Language Models

We observe that due to the diminishing returns of adding parameters to LLMs, a smaller model could make the same prediction as a costly LLM for ...

High-throughput Generative Inference of Large Language Models ...

... large language model (LLM) inference ... nuqmm: Quantized matmul for efficient inference of large-scale generative language models.