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Awesome-LLM-Inference
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Awesome-LLM-Inference

📚A curated list of Awesome LLM/VLM Inference Papers with Codes: Flash-Attention, Paged-Attention, WINT8/4, Parallelism, etc.🎉

by xlite-dev · GitHub
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awesome-llmdeepseekdeepseek-r1GPL-3.0Python
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Explore a collection of research papers and code related to large language model inference.

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2026-07-122026-08-31
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📄 About

📚A curated list of Awesome LLM/VLM Inference Papers with Codes: Flash-Attention, Paged-Attention, WINT8/4, Parallelism, etc.🎉

Awesome-LLM-Inference has 5.5k stars on GitHub. It has been forked 429 times. Awesome-LLM-Inference is written mainly in Python. It has been in active development since 2023. Awesome-LLM-Inference is available under the GPL-3.0 license. Its main topics are awesome-llm, deepseek, deepseek-r1, deepseek-v3.

Frequently asked questions

What is Awesome-LLM-Inference?

📚A curated list of Awesome LLM/VLM Inference Papers with Codes: Flash-Attention, Paged-Attention, WINT8/4, Parallelism, etc.🎉

Is Awesome-LLM-Inference open source?

Awesome-LLM-Inference is an open-source project. It is released under the GPL-3.0 license.

Is Awesome-LLM-Inference free?

Yes. Awesome-LLM-Inference is free and open source — you can use, modify and self-host it. Its GPL-3.0 license is copyleft: if you distribute a modified version, it must remain under the same license.

What license does Awesome-LLM-Inference use?

Awesome-LLM-Inference is available under the GPL-3.0 license.

What language is Awesome-LLM-Inference written in?

Awesome-LLM-Inference is written mainly in Python.

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