摘要 过去一年,大型语言模型(LLM)的流行度不断增加。它们前所未有的规模和相关的高硬件成本阻碍了它们的广泛采用,需要高效的硬件设计。由于运行LLM推理所需的大型硬件,评估不同的硬件设计成为一个新的瓶颈。 本文介绍了LLMCompass,一种用于LLM推理工作负载的硬件评估框架。LLMCompass快速、准确、多功能,并能描述和评估...
Our method involves constructing an inference cost model that takes into account the characteristics of flash memory, guiding us to optimize in two critical areas: reducing the volume of data transferred from flash and reading data in larger, more contiguous chunks. Within this hardware-informed ...
title:LLM in a flash:Efficient Large Language Model Inference with Limited Memorypaper: https://arxiv.org/pdf/2312.11514.pdf前言 苹果公司最新发布的一篇研究论文带来了一项重大的突破,即通过利用闪存…
Overall work will entail pruning and fine-tuning of large language models, as well as design, implementation, and evaluation of distributed systems and networks for machine learning inference. Supervision:Prof. Dejan Kostic What we offer The possibilityto study in a dynamic and international research ...
This work introduces a hybrid model acceleration strategy based on branch prediction, which accelerates autoregressive model inference without requiring retraining and ensures output consistency with the original model. Specifically, the algorithm employs two models with different parameter sizes aimed at the...
OpenAI releasedGPT-3, a 175 billion-parameter model that generated text and code with short written prompts.In 2021, NVIDIA and Microsoft developed Megatron-Turing Natural Language Generation 530B, one of the world’s largest models for reading comprehension and natural language inference, with 530...
Turbocharging Meta Llama 3 Performance with NVIDIA TensorRT-LLM and NVIDIA Triton Inference Server Get Started with Generative AI Development for Windows PCs with NVIDIA RTX NVIDIA TensorRT-LLM Supercharges Large Language Model Inference on NVIDIA H100 GPUs...
model inference and reduce cost, this paper presents LLMLingua, a coarse-to-fine prompt compression method that involves a budget controller to maintain semantic integrity under high compression ratios, a token-level iterative compression algorithm to better model the interdepen...
LightLLM is a Python-based LLM (Large Language Model) inference and serving framework, notable for its lightweight design, easy scalability, and high-speed performance. - ModelTC/lightllm
print(inference(test_text, base_model, tokenizer)) 1. 2. 3. 4. 5. 输出如下: Question input (test): Can Lamini generate technical documentation or user manuals for software projects? Correct answer from Lamini docs: Yes, Lamini can generate technical documentation and user manuals for softwa...