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bentomlA practical guide to LLM inference
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This repository hosts the source content for the "LLM Inference Handbook," a practical guide designed for engineers and researchers. It aims to provide comprehensive knowledge on understanding, optimizing, scaling, and operating Large Language Model (LLM) inference, serving as a valuable resource for professionals working with LLMs.
How It Works
This project is a documentation repository, not a software tool. It curates and presents practical information and best practices for LLM inference. The handbook's approach focuses on covering the entire lifecycle of LLM inference, from initial understanding and optimization techniques to scaling strategies and operational considerations, offering actionable guidance.
Quick Start & Requirements
pnpm install and start the server with pnpm start.http://localhost:3000/llm/.pnpm (Node Package Manager).Highlighted Details
Maintenance & Community
Licensing & Compatibility
docs/ folder is under the Creative Commons Attribution 4.0 International (CC BY 4.0) License. All other files are under the Apache License 2.0.Limitations & Caveats
2 weeks ago
Inactive
merrymercy
Shengjia Zhao(Chief Scientist at Meta Superintelligence Lab),
google
grahamjenson
ThilinaRajapakse
google-research
triton-inference-server
tensorflow
visenger