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title: Deploying Large Language Models: vLLM and Quantization
description: Step-by-step guide on how to accelerate large language models. Deployment of Large Language Models and the use of tools like vLLM and quantization. Measurement...
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> ## Documentation Index
> Fetch the complete documentation index at: https://daily.dev/llms.txt
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# Deploying Large Language Models: vLLM and Quantization

**[Towards Data Science](https://daily.dev/sources/tds)** · 9 min read · 1 upvotes · 0 comments

## Summary

Step-by-step guide on how to accelerate large language models. Deployment of Large Language Models and the use of tools like vLLM and quantization. Measurement of latency and throughput. Installation and usage of vLLM. Comparison of vLLM and Hugging Face transformers. Deployment of A Large Language Model with vLLM. Benchmarking Latency and Throughput in Real Time. Quantization of Large Language Models and the use of BitsandBytes library.

## Full article

daily.dev links to this article rather than hosting it. Read it at the original source: <https://towardsdatascience.com/deploying-large-language-models-vllm-and-quantizationstep-by-step-guide-on-how-to-accelerate-becfe17396a2>

---

Tags: [#data-science](https://daily.dev/tags/data-science), [#llm](https://daily.dev/tags/llm)

[View this post on daily.dev](https://daily.dev/posts/deploying-large-language-models-vllm-and-quantization-jtkfcebf5)

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