vllm-project/vllm
A high-throughput and memory-efficient inference and serving engine for LLMs. Why it matters: useful plumbing for shipping LLM-powered features.
GitHub description: A high-throughput and memory-efficient inference and serving engine for LLMs
Stars
94k
Last 24h
+70est.
Last 7 days
+489est.
Forks
23k
Star history (last 1 snapshot)
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[](https://ossradar.net/repo/vllm-project/vllm)<a href="https://ossradar.net/repo/vllm-project/vllm"><img src="https://ossradar.net/badge/vllm-project/vllm" alt="Trending on OSS Radar"></a>About vllm
vllm-project/vllm is a Python project in the LLM tooling category, created 4 years ago. It has 94k GitHub stars and 23k forks, and gained +489 stars over the last 7 days (early estimate), ranking #85 of 167 LLM tooling repos tracked by OSS Radar this week.
See more trending LLM tooling repos or the top AI repos this week.
- Language
- Python
- Category
- LLM tooling
- Created
- Feb 9, 2023
- Last push
- Oct 13, 2026
- amd
- blackwell
- cuda
- deepseek
- deepseek-v3
- gpt
- gpt-oss
- inference
- kimi
- llama
- llm
- llm-serving
- model-serving
- moe
- openai
- pytorch
- qwen
- qwen3
- tpu
- transformer
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